INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS
|
|
- Arthur Hald
- 5 år siden
- Visninger:
Transkript
1 BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN (p) , ISSN (o) /JOURNALS / BULLETIN Vol. 8(2018), DOI: /BIMVI C Former BULLETIN OF THE SOCIETY OF MATHEMATICIANS BANJA LUKA ISSN (o), ISSN X (p) INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS V. Chinnadurai and K. Arulmozhi Abstract. In this paper, we introduce the concept of interval valued fuzzy ideals of Γ-near-rings, We also characterize some of its properties and illustrate with examples of interval valued fuzzy ideals of Γ-near-rings. 1. Introduction The notion of fuzzy sets was introduced by Zadeh [12] in 1965, and he [13] also generalized it to interval valued fuzzy subsets (shortly i.v fuzzy subsets), whose of membership values are closed subinterval of [0, 1]. Near-ring was introduced by Pilz [8] and Γ -near-ring was introduced by Satyanarayana [9] in The idea of fuzzy ideals of near-rings was presented by Kim et al. [6]. Fuzzy ideals in Gammanear-rings was proposed by Jun et al. [5] in Moreover, Thillaigovindan at al. [10] studied the interval valued fuzzy quasi-ideals of semigroups. Chinnadurai et al. [3] characterized of fuzzy weak bi-ideals of Γ-near-rings. Thillaigovindan et al. [11] worked on interval valued fuzzy ideals of near-rings. Rao [7] carried out a study on anti-fuzzy k-ideals and anti-homomorphism of Γ-near-rings. In this paper, we define a new notion of interval valued fuzzy ideals of Γ- near-rings, which is a generalized concept of an interval valued fuzzy ideals of near-rings. We also investigate some of its properties and illustrate with examples. 2. Preliminaries In this section, we list some basic definitions. Definition 2.1. ([13]) Let X be any set. A mapping η : X D[0, 1] is called an interval valued fuzzy subset (briefly, an i.v fuzzy subset) of X, where D[0, 1] denotes the family of closed subintervals of [0, 1] and η(x) = [η (x), η + (x)] for all 2010 Mathematics Subject Classification. Primary 16Y30; Secondary 03E72, 08A72. Key words and phrases. Γ-near-rings, fuzzy ideals, interval valued fuzzy ideals, homomorphism and anti-homomorphism. 301
2 302 V. CHINNADURAI AND K. ARULMOZHI x X, where η (x) and η + (x) are fuzzy subsets of X such that η (x) η + (x) for all x X. Definition 2.2. ([12]) An interval number ã, we mean an interval [a, a + ] such that 0 a a + 1 and where a and a + are the lower and upper limits of ã respectively. The set of all closed subintervals of [0, 1] is denoted by D[0, 1]. We also identify the interval [a, a] by the number a [0, 1]. For any interval numbers ã j = [a j, a+ j ], b j = [b j, b+ j ] D[0, 1], j Ω (where Ω is index set), we define max i {ã j, b j } = [max{a j, b j }, max{a+ j, b+ j }], min i {ã j, b j } = [min{a j, b j }, max{a+ j, b+ j }], inf i ã j = [ j Ω a j, j Ωa + j ], sup i ã j = [ j Ω a j, j Ωa + j ]. and let (i) ã b a b and a + b +, (ii) ã = b a = b and a + = b +, (iii) ã < b ã b and ã b, (iv) kã = [ka, ka + ], whenever 0 k 1. Definition 2.3. ([10]) Let η be an i.v fuzzy subset of X and [t 1, t 2 ] D[0, 1]. Then the set Ũ( η : [t 1, t 2 ]) = {x X η(x) [t 1, t 2 ]} is called the upper level subset of η. Definition 2.4. ([8]) A near-ring is an algebraic system (R, +, ) consisting of a non empty set R together with two binary operations called + and such that (R, +) is a group not necessarily abelian and (R, ) is a semigroup connected by the following distributive law: (x + z) y = x y + z y valid for all x, y, z R. We use the word near-ring to mean right near-ring. We denote xy instead of x y. Definition 2.5. ([9]) A Γ- near-ring is a triple (M, +, Γ) where (i) (M, +) is a group, (ii) Γ is a nonempty set of binary operations on M such that for each α Γ, (M, +, α) is a near-ring, (iii) xα(yβz) = (xαy)βz for all x, y, z M and α, β Γ. In what follows, let M denote a Γ- near-ring unless otherwise specified. Definition 2.6. ([9]) A subset A of a Γ-near-ring M is called a left(resp. right) ideal of M if (i) (A, +) is a normal divisor of (M, +), (i.e) x y A for all x, y A and y + x y A for x A, y M (ii) uα(x + v) uαv A (resp. xαu A) for all x A, α Γ and u, v M. Definition 2.7. ([9]) Let M be a Γ-near-ring. Given two subsets A and B of M, we define AΓB = {aαb a A, b B and α Γ} and also define another operation on the class of subset of M as AΓ B = {aγ(a + b) aγa a, a A, γ Γ, b B}.
3 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 303 Definition 2.8. ([10]) Let I be a subset of a near-ring M. Define a function f I : M D[0, 1] by { 1 if x I f I (x) = 0 otherwise. Definition 2.9. ([4]) If η and λ, η i (i Ω) are i.v fuzzy subsets of X. The following are defined by (i) η λ η(x) λ(x). (ii) η = λ η(x) = λ(x). (iii) ( η λ)(x) = min i { η(x), λ(x)}. (iv) ( η λ)(x) = max i { η(x), λ(x)}. (v) η(x) = supi { η(x) i Ω}. (vi) η(x) = infi { η(x) i Ω} forall x X. where inf i { η i i Ω} = [inf {η i (x)}, inf {η + i (x)}] is the i.v infimum norm and sup i { η i i Ω} = [sup {η i (x)}, sup {η + i (x)}] is the i.v supremum norm. 3. Interval valued fuzzy ideals of Γ-near-rings In this section, we introduce the notion of i.v fuzzy left(right)ideal of M and discuss some of its properties. Definition 3.1. An i.v fuzzy subset η in a Γ-near-ring M is called an i.v fuzzy left (resp. right) ideal of M if (i) η is an i.v fuzzy normal divisor with respect to addition, (ii) η(cα(p + d) cαd) η(p), (resp. η(pαc) η(p) for all p, c, d M and α Γ. The condition (i) of definition 3.1 means that η satisfies: (i) η(p q) min i { η(p), η(q)}, (ii) η(q + p q) η(p), for all p, q M Note that η is an i.v fuzzy left (resp. right) ideal of Γ-near-ring M, then η(0) η(p) for all p M, where 0 is the zero element of M. Example 3.1. Let M = {0, a, b, c} be a non-empty set with binary operation + and Γ = {α, β} be the non-empty set of binary operations as shown in the following tables: + 0 a b c 0 0 a b c a a 0 c b b b c 0 a c c b a 0 α 0 a b c a a a a a b 0 0 b b c a a c c Table 1. β 0 a b c a b 0 a c b c 0 a b c Let η : M D[0, 1] be an i.v fuzzy subset defined by η(0) = [0.8, 0.9], and η(a) = [0.6, 0.7], η(b) = η(c) = [0.2, 0.3]. Then η is an i.v fuzzy ideal of M.
4 304 V. CHINNADURAI AND K. ARULMOZHI Theorem 3.1. Let η = [η, η + ] be an i.v fuzzy subset of a Γ-near-ring M, then η is an i.v fuzzy left(right) ideal of M if and only if η, η + are fuzzy left (right) ideal of M. Proof. Let η be an i.v fuzzy left ideal of M. For any p, q, r M. Now [η (p q), η + (p q)] = η(p q) min i { η(p), η(q)} It follows that η (p) min i {η (p), η (q) and [η (pαq), η + (pαq)] = η(pαq) = min i {[η (p), η + (p)], [η (q), η + (q)]} = min i {[η (p), η (q)]}, min{[η + (p), η + (q)]} min i { η(p), η(q)} = min i {[η (p), η + (p)], [η (q), η + (q)]} = min i {[η (p), η (q)]}, min{[η + (p), η + (q)]} i i Then and Now η (pαq) min i { η(p), η(q) η + (pαq) min i { η(p), η(q). [η (q + p q), η + (q + p q)] = η(q + p q) = η(p) = [η (p), η + (q)]. It follows that η (q + p q)] = η (p) and η + (q + p q)] = η + (p). Also [η (pαq), η + (pαq)] η(pαq) η(q) = [η (q), η + (q)] So η (pαq) η (q) and η + (pαq) η + (q). Now [η ((p + r)αq pβq), η + ((p + r)αq pβq)] = η((p + r)αq pβq η(r) = [η (r), η + (r)]. It follows that η ((p + r)αq pβq) η (r) and η + ((p + r)αq pβq) η + (r).
5 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 305 Conversely, assume that η, η + are fuzzy left(right) ideals of M.Let p, q, r M Now η(p q) = [η (p q), η + (p q)] min i {[η (p)η (q)]}, min i {[η + (p)η + (q)]} = min i {[η (p)η + (p)]}, min i {[η (q)η + (q)]} = min i {[ η(p), η(q)]} η(pαq) = [η (pαq), η + (pαq)] min i {[η (p)η (q)]}, min i {[η + (p)η + (q)]} = min i {[η (p)η + (p)]}, min i {[η (q)η + (q)]} = min i {[ η(p), η(q)]} η(q + p q) = [η (q + p q), η + (q + p q)] = [η (p), η + (p)] = η(p) η(pαq) = [η (pαq), η + (pαq)] [η (q), η + (q)] = η(q) η((p + r)αq pβq) = [η ((p + r)αq pαq), η + ((p + r)αq pαq)] [η (r), η + (r)] = η(r) Hence η is an i.v fuzzy left(right) ideal of M. Theorem 3.2. Let I be a left (right) ideal of Γ-near-ring M. Then for any c D[0, 1], there exists an i.v fuzzy left (right) ideal η of M such that Ũ( η : c) = I. Proof. Let I be a left (right)ideal of M. Let η be an i.v fuzzy subset of M defined by { c if p I η(p) = 0 otherwise. Then Ũ( η; c) = I. If p, q I, then p, q I and η(p q) = c = If p, q / I, then η(p) = 0 = (q) and thus Suppose that p, q I. Then i min{ c, c} = min i { η(p), η(q)}. η(p q) 0 = min i { 0, 0} = min i { η(p), η(q)}. η(p q) 0 = i min{ c, 0} = min i { η(p), η(q)}.
6 306 V. CHINNADURAI AND K. ARULMOZHI If p I and q M, then q + p q I and so η(q + p q) = c = η(p). If p / I and q M,then η(p) = 0 and thus η(q + p q) 0 = η(p). If q I and p M, then pαq I and so η(pαq) = c = η(q). If q / I and p M, then η(q) = 0 and thus η(pαq) 0 = η(q). If r I and p, q M, then ((p + r)αq pβq) I and so η((p + r))αq pβq) = c = η(r). If z / I and p, q M, then η(r) = 0 and η((p + r))αq pβq) 0 = η(r). Hence η is an i.v fuzzy left(right) ideal of tha Γ-near-ring M. Theorem 3.3. Let M be a Γ-near-ring and η is an i.v fuzzy left (right) ideal of M, then the set M η = {p M η(p) = η(0)} is left (right) ideal of M. Proof. Let η be an i.v fuzzy left ideal of M. Let p, q M η. Then η(p) = η(0), η(q) = η(0) and η(p q) min{ η(p), i η(q)} = min{ η(0), i η(0)} = η(0). So η(p q) = η(0). Thus p q M η. For every q M and p M η and α, β Γ we have η(q + p q) η(p) = η(0). Hence q + p q M η which shows that M η is a normal divisor of M with respect to the addition. Let p M η, α Γ and c, d M. Then η(cα(p + d) cαd) η(p) = η(0) and hence η(cα(p + d) cαd) = η(0).(i.e) cα(p + d) cαd M η. Therefore M η is a left ideal of M. Theorem 3.4. Let H be a non empty subset of a Γ-near-ring M and η H be an i.v fuzzy set M defined by { s if p H η H (p) = t otherwise for p M and s, t D[0, 1] and s > t. Then η H is an i.v fuzzy left(right) ideal of M if and only if H is a left ideal of M. Also M ηh = H. Proof. η H be an i.v fuzzy left(right) ideal of M and let p, q H. Then η H (p) = s = η H (q). Consider η H (p q) min i { η H (p), η H (q)} = min i { s, s} = s and so η H (p q) = s which implies that p q H. For any p H, α Γ and c, d M. Then η H (cα(p + d) cβd) η H (p) = s (resp. η H (pαc) η H (p) = s) and hence η H (cα(p + d) cβd) = s (resp. η H (pαc) = s). This shows that M is a left(right) ideal of M. Conversely assume that H is a left (right) ideal of M. Let p, q M, if at least one of p and q does not belong to H then η H (p q) t = min i { η p, η q }. If p, q H,then p q H and so η H (p q) = s = min i { η H (p), η H (q)}. If p H,then q + p q M and hence η H (q + p q) = s = η H (p)}. Clearly η H (q + p q) t = η H (p)} for all p / M and q M. This shows that η H is an i.v fuzzy normal divisor w.r.to addition. Now let p, c, d M and α Γ.
7 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 307 If p H,then cα(p+d) cαd A (resp.pαc A) and thus η H (cα(p+d) cβd) = s = η H (p) (resp. η H (pαc) = s = η H (p). If p / H, then clearly η H (cα(p + d) cβd) = t η H (p) respective η H (pαc) t = η H (p). Hence η H is an i.v fuzzy left(right) ideal of M. Also M ηh = {p M η H (p) = η H (0)} = {p M η H (p) = s} = {p M p H} = H The following theorem given the relation between fuzzy subsets and crisp subsets of a Γ-near-ring. Theorem 3.5. Let H be a subset of a Γ-near-ring M. The characteristic function η H : M D[0, 1] is an i.v fuzzy left(right) ideal of M if and only if H is a left(right) ideal of M. Proof. Let H be a left ideal of M, using the theorem 3.4. Conversely, assume hat η H is an i.v fuzzy left(right) ideal of M. Let p, q H, then η H (p) = 1 = η H (q) and so η H (p q) min i { η H (p), η H (q)} = min i { 1, 1} = 1 so η H (p q) = 1. Therefore p q H. Hence H is an additive subgroup of M. Let p H and q M, then η H (q +p q) = η H (p) = 1. Hence η H (q +p q) = 1 this implies that q + p q H. Thus H is a normal subgroup of M. Let p M and q H, then η H (pαq) η H (q) = 1. Hence η H (pαq) = 1 this implies pαq H and H is a left ideal of M. Let p, q M and r H. Then η H ((p+r)αq) pβq η H (r) = 1. Hence η H ((p + r)αq pβ) = 1 this implies that (p + r)αq pβq) H.Hence H is a left(right) ideal of M. Theorem 3.6. Let { η i i Ω} be family of i.v fuzzy ideals of a Γ- near-ring M, then η i is also an i.v fuzzy ideal of M, where Ω is any index set. Proof. Let { η i i Ω} be a family of i.v fuzzy ideals of M. M, α, β Γ and η = η i. Then, Let p, q, r η(p) = η i (p) = ( inf i η i ) (p) = inf i η i (p).
8 308 V. CHINNADURAI AND K. ARULMOZHI Now η(p q) = inf i η i (p q) inf i min i { η i (p), η i (q)} = min i { inf i η i (p), inf i η i (q) } { = min i η i (p), } η i (q) = min i { η(p), η(q)}. η(pαq) = inf i { η i (pαq) : i Ω} inf i {min i { η i (p), η i (q)} : i Ω} = min i { inf i { η i (p) : i Ω}, inf i { η i (q) : i Ω} } { = min i η i (p), } η i (q) η(q + p q) = inf i { η i (q + p q) : i Ω} = inf i { η i (p) : i Ω} { } = η i (p). Therefore η(pαq) = inf i { η i (pαq) : i Ω} inf i { η i (q) : i Ω} { } = η i (q) η((p + r)αq pβq) = inf i { η i (p + rαq pβq) : i Ω} inf i { η i (r) : i Ω} { } = η i (r) η i is an i.v fuzzy ideal of M. Theorem 3.7. Let { η i i Ω} be family of i.v fuzzy ideals of a Γ- near-ring M, then η i is also an i.v fuzzy ideal of M, where Ω is any index set.
9 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 309 Proof. Let { η i i Ω} be a family of i.v fuzzy ideals of M. M, α, β Γ and η = η i. Then, Let p, q, r Now η(p) = η i (p) = ( sup i ) η i (p) = sup i η i (p). η(p q) = sup i η i (p q) sup i max i { η i (p), η i (q)} = max i { sup i η i (p), sup i η i (q) } { = max i η i (p), } η i (q) = max i { η(p), η(q)}. η(pαq) = sup i { η i (pαq) : i Ω} sup i {max i { η i (p), η i (q)} : i Ω} = max i { sup i { η i (p) : i Ω}, sup i { η i (q) : i Ω} } { = max i η i (p), } η i (q) η(q + p q) = sup i { η i (q + p q) : i Ω} Therefore = sup i { η i (p) : i Ω} { } = η i (p). η(pαq) = sup i { η i (pαq) : i Ω} sup i { η i (q) : i Ω} { } = η i (q) η((p + r)αq pβq) = sup i { η i (p + rαq pβq) : i Ω} sup i { η i (r) : i Ω} { } = η i (r) η i is an i.v fuzzy ideal of M.
10 310 V. CHINNADURAI AND K. ARULMOZHI Theorem 3.8. Let η be an i.v fuzzy subset of M. η is an i.v fuzzy left (right) ideal of M if and only if Ũ( η : [t 1, t 2 ]) is left (right) ideal of M, for all [t 1, t 2 ] D[0, 1]. Proof. Assume that η is an i.v fuzzy left(right) ideal of M. Let [t 1, t 2 ] D[0, 1] such that p, q Ũ( η : [t 1, t 2 ]). Then η(p q) min i { η(p), η(q)} min i {[t 1, t 2 ], [t 1, t 2 ]} = [t 1, t 2 ]. Thus p q Ũ( η : [t 1, t 2 ]). Let p Ũ( η : [t 1, t 2 ]) and q M and α, β Γ. We have η(q+p q) = η(p) [t 1, t 2 ]. Therefore q + p q Ũ( η : [t 1, t 2 ]). Hence Ũ( η : [t 1, t 2 ]) is a normal subgroup of M. Let q Ũ( η : [t 1, t 2 ]) and p M, thus (pαq) (q)[t 1, t 2 ]. Hence pαq Ũ( η : [t 1, t 2 ]). Let z Ũ( η : [t 1, t 2 ]) and p, q M, thus η((p + r)αq pβq) η(r) [t 1, t 2 ], and ((p + r)αq pβq) Ũ( η : [t 1, t 2 ]). Hence Ũ( η : [t 1, t 2 ]) is a left (right) ideal of a Γ-near-ring of M. Conversely, assume Ũ( η : [t 1, t 2 ]) is a left(right) ideal of M, for all [t 1, t 2 ] D[0, 1]. Let p, q M. Suppose η(p q) < min i { η(p), η(q)}. Choose c = [c 1, c 2 ] D[0, 1] such that η(p q) < [c 1, c 2 ] < min i { η(p), η(q)}. This implies that η(p) > [c 1, c 2 ] and η(q) > [c 1, c 2 ], then we have p, q Ũ( η : [t 1, t 2 ]), and since Ũ( η : [c 1, c 2 ]) is a left(right) ideal of M then (p q) Ũ( η : [c 1, c 2 ]). Hence (p q) [c 1, c 2 ] is a contradiction, this implies that η(p q) min i { η(p), η(q)}. Suppose η(q + p q) < p, choose an interval c = [c 1, c 2 ] D[0, 1] such that η(q + p q) < [c 1, c 2 ] η(p). This implies that η(p) > [c 1, c 2 ] then we have p Ũ( η : [c 1, c 2 ]), and since Ũ( η : [c 1, c 2 ]) is a normal subgroup of (M, +) then (q + p q) Ũ( η : [c 1, c 2 ]). Hence (q + p q) [c 1, c 2 ] is a contradiction. Hence η(q + p q) η(p). Similarly η(q + p q) η(p). Hence η(q + p q) = η(p). Suppose η(pαq) < q, choose an interval c = [c 1, c 2 ] D[0, 1] such that η(pαq) < [c 1, c 2 ] η(q). This implies that η(q) > [c 1, c 2 ] then we have q Ũ( η : [c 1, c 2 ]), and since Ũ( η : [c 1, c 2 ]) is a left(right) ideal of M then (pαq) Ũ( η : [c 1, c 2 ]). Hence (pαq) [c1, c 2 ] is a contradiction. Hence η(pαq) = η(q). Suppose η((p + r)αq pβq) < r, choose an interval c = [c 1, c 2 ] D[0, 1] such that η((p + r)αq pβq)) < [c 1, c 2 ] < η(r). This implies that η(r) > [c 1, c 2 ] we have q Ũ( η : [c 1, c 2 ]), and since Ũ( η : [c 1, c 2 ]) is a left(right) ideal of M it follows that ((p + r)αq pβq)) Ũ( η : [c 1, c 2 ]). Hence ((p + r)αq pβq)) [c 1, c 2 ] which is a contradiction. Hence η((p + r)αq pβq)) η(r). Thus η is an i.v fuzzy left(right) ideal of M. 4. Homomorphism of interval valued fuzzy ideals of Γ-near-rings In this section, we characterize i.v fuzzy ideals of Γ-near-rings using homomorphism. Definition 4.1. ([9]) Let f be a mapping from a set M to a set S. Let η and δ be i.v fuzzy subsets of M and S respectively. Then f( η), the image of η under f is an i.v fuzzy subset of S defined by { sup i f( η)(y) = x f 1 (y) η(x) if f 1 (y), 0 otherwise
11 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 311 and the pre-image of η under f is an i.v fuzzy subset of M defined by f 1 ( δ(x)) = δ(f(x)), for all x M and f 1 (y) = {x M f(x) = y}. Definition 4.2. ([5]) Let M and S be Γ-near-rings. A map θ : M S is called a (Γ-near-ring)homomorphism if θ(x + y) = θ(x) + θ(y) and θ(xαy) = θ(x)αθ(y) for all x, y M and α Γ. Theorem 4.1. Let f : M 1 M 2 be a homomorphism between Γ-near-rings M 1 and M 2. If δ is an i.v fuzzy ideal of M 2, then f 1 ( δ) is an i.v fuzzy left (right) ideal of M 1. Proof. Let δ is an i.v fuzzy ideal of M 2. Let p, q, r M 1 and α, β Γ. Then f 1 ( δ)(p q) = δ(f(p q)) = δ(f(p) f(q)) f 1 ( δ)(pαq) = δ(f(pαq)) min i { δ(f(p)), δ(f(q))} = min i {f 1 ( δ(p)), f 1 ( δ(q))}. = δ(f(p), f(q)) min i { δ(f(p)), δ(f(q))} = min i {f 1 ( δ(p)), f 1 ( δ(q))}. f 1 ( δ)(q + p q) = δ(f(q + p q)) = δ(f(q) + f(p) f(q)) = δ(f(p)) = f 1 ( δ(p)). f 1 ( δ)(pαq) = δ(f(pαq)) = δ(f(p)αf(q)) δ(f(q)) = f 1 ( δ(q)) f 1 ( δ)((p + r)αq pβq) = δ(f((p + r)αq pβq)) = δ(f(p) + f(r))αf(q) f(p)βf(q) δ(f(r)) = f 1 ( δ(r)) Therefore f 1 ( δ) is an i.v fuzzy left(right) ideal of M 1. Theorem 4.2. Let f : M 1 M 2 be an onto homomorphism of Γ- near-rings M 1 and M 2. Let δ be an i.v fuzzy subset of M 2. If f 1 ( δ) is an i.v fuzzy left (right)ideal of M 1, then δ is an i.v fuzzy left(right) ideal of M 2.
12 312 V. CHINNADURAI AND K. ARULMOZHI Proof. Let p, q, r M 2. Then f(a) = p, f(b) = q and f(c) = r for some a, b, c M 1 and α, β Γ. It follows that δ(p q) = δ(f(a) f(b)) = δ(f(a b)) = f 1 ( δ)(a b) min i {f 1 ( δ)(a), f 1 ( δ)(b)} = min i { δ(f(a)), δ(f(b))} = min i { δ(p), δ(q)}. δ(pαq) = δ(f(a)αf(b)) = δ(f(aαb)) = f 1 ( δ)(aαb) min i {f 1 ( δ)(a), f 1 ( δ)(b)} = min i { δ(f(a)), δ(f(b))} = min i { δ(p), δ(q)}. δ(q + p q) = δ(f(b) + f(a) f(b)) = δ(f(b + a b)) = f 1 ( δ)(b + a b) = f 1 δ(a) = δ(f(a)) = δ(p). δ(pαq) = δ(f(a)αf(b)) = δ(f(aαb)) = f 1 ( δ)(aαb) f 1 ( δ)(b) = δ(f(b)) = δ(q)} δ(p + r)αq pβq) = δ(f(a) + f(c))αf(b) f(a)βf(b)) = δ(f(a + c)αb aβb)) = f 1 ( δ)(a + c)αb aβb) f 1 ( δ)(c) = δ(f(c)) = δ(f(r)).
13 INTERVAL VALUED FUZZY IDEALS OF GAMMA NEAR-RINGS 313 Hence δ is an i.v fuzzy left(right)ideal of M 1 Theorem 4.3. Let f : M 1 M 2 be an onto Γ-near-ring homomorphism. If η is an i.v fuzzy left (right)ideal of M 1, then f( η) is an i.v fuzzy left (right)ideal of M 2. Proof. Let η be an i.v fuzzy ideal of M 1. Since f( η)(p ) = sup i f(p)=p ( η(p)), for p M 2 and hence f( η) is nonempty. Let p, q M 2 and α, β Γ. Then we have {p p f 1 (p q )} {p q x f 1 (p ) and q f 1 (q )} and {p p f 1 (p q )} {pαq p f 1 (p ) and q f 1 (q )}. f( η)(p q ) = sup i f(r)=p q { η(r)} sup i f(p)=p,f(q)=q { η(p q)} sup i f(p)=p,f(q)=q {mini { η(p), η(q)}} = min i {sup i f(p)=p { η(p)}, supi f(q)=q { η(q)}} = min i {f( η)(p ), f( η)(q )}. f( η)(p αq ) = sup i f(r)=p αq { η(r)} sup i f(p)=p,f(q)=q { η(pαq)} sup i f(p)=p,f(q)=q {mini { η(p), η(q)}} = min i {sup i f(p)=p { η(p)}, {supi f(q)=q { η(q)}} = min i {f( η)(p ), f( η)(q )}. f( η)(q + p q ) = sup i f(r)=q +p q { η(r)} sup i f(p)=p,f(q)=q { η(q + p q)} = sup i f(p)=p { η(p)}. f( η)(p αq ) = sup i f(r)=p αq { η(r)} sup i f(p)=p,f(q)=q { η(pαq)} sup i f(q)=q { η(q)} = f( η)(q ). f( η)((p + r )αq p βq ) = sup i f(r)=(p +r )αq p βq { η(r)} sup i f(p)=p,f(q)=q,f(r)=r { η((p + r)αq pβq))} sup i f(r)=r { η(r)} = f( η)(r ). Therefore f( η) is an i.v fuzzy left (right)ideal of M Anti-homomorphism of interval valued fuzzy ideals of Γ-near-rings In this section, we characterize i.v fuzzy ideals of Γ-near-rings using antihomomorphism.
14 314 V. CHINNADURAI AND K. ARULMOZHI Definition 5.1. ([7]) Let M and S be Γ-near-rings. A map θ : M S is called a (Γ-near-ring) anti-homomorphism if θ(x + y) = θ(y) + θ(x) and θ(xαy) = θ(y)αθ(x) for all x, y M and α Γ. Theorem 5.1. Let f : M 1 M 2 be an anti-homomorphism between Γ-nearrings M 1 and M 2. If δ is an i.v fuzzy ideal of M 2, then f 1 ( δ) is an i.v fuzzy left (right)ideal of M 1. Theorem 5.2. Let f : M 1 M 2 be an onto anti-homomorphism of Γ- nearrings M 1 and M 2. Let δ be an i.v fuzzy subset of M 2. If f 1 ( δ) is an i.v fuzzy left (right)ideal of M 1, then δ is an i.v fuzzy left(right) ideal of M 2. Theorem 5.3. Let f : M 1 M 2 be an onto Γ-near-ring anti-homomorphism. If η is an i.v fuzzy left (right)ideal of M 1, then f( η) is an i.v fuzzy left (right)ideal of M 2. Acknowledgement. The second author was supported in part by UGC-BSR Grant #F.25-1/ (BSR)/7-254/2009(BSR) dated in India. References [1] G. L. Booth. A note on Γ-near-rings. Stud. Sci. Math. Hung., 23(1988), [2] Chandrasekhara Rao and V. Swaminathan. Anti-homomorphism in fuzzy ideals. World Academy of Science, Engineering and Technology, International Journal of Mathematical and Computational Sciences. 4(8)(2010), [3] V. Chinnadurai, K. Arulmozhi and S. Kadalarasi. Characterization of fuzzy weak bi-ideals of Γ-near-rings. International Journal of Algebra and Statistics, 6(1-2)(2017), [4] V. Chinnadurai and S.Kadalarasi. Interval valued fuzzy quasi-ideals of near-rings. Annals of Fuzzy Mathematics and Informatics, 11(4)(2016), [5] Y. B. Jun, M. Sapanic and M. A. Ozturk. Fuzzy ideals in gamma near-rings. Turk. J. Math., 22(4)(1998), [6] S. D. Kim and H. S. Kim. On fuzzy ideals of near-rings. Bulletin Korean Mathamatical Society. 33(4)(1996), [7] M. M. K. Rao and B. Venkateswarlu. Anti-fuzzy k-ideals and anti-homomorphism of Γ- semirings. J. Int. Math. Virtual Inst.,.5(2015), [8] G. Pilz. Near-rings, The theory and its applications, North-Holland publishing company, Ameserdam [9] Bh. Satyanarayana. Contributions to near-rings theory. Doctoral Thesis, Nagarjuna University, [10] N. Thillaigovindan and V. Chinnadurai. Interval valued fuzzy quasi-ideals of semigroups. East Asian Mathematics Journal. 25(4)(2009), [11] N. Thillaigovindan, V. Chinnadurai and S.Kadalarasi. Interval valued fuzzy ideals of nerarings. The Journal of Fuzzy Mathematics, 23(2)(2015), [12] L. A. Zadeh. Fuzzy sets. Inform and Control., 8(1965), [13] L.A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. Inform., Sci., 8(1975), Receibed by editors ; Revised version ; Available online Department of Mathematics, Annamalai University, Annamalainagar, India address: kv.chinnadurai@yahoo.com Department of Mathematics, Annamalai University, Annamalainagar, India address: arulmozhiems@gmail.com
Exercise 6.14 Linearly independent vectors are also affinely independent.
Affine sets Linear Inequality Systems Definition 6.12 The vectors v 1, v 2,..., v k are affinely independent if v 2 v 1,..., v k v 1 is linearly independent; affinely dependent, otherwise. We first check
Læs mereOn the Relations Between Fuzzy Topologies and α Cut Topologies
S Ü Fen Ed Fak Fen Derg Sayı 23 (2004) 21-27, KONYA On the Relations Between Fuzzy Topologies and α Cut Topologies Zekeriya GÜNEY 1 Abstract: In this study, some relations have been generated between fuzzy
Læs mereUniversity of Copenhagen Faculty of Science Written Exam - 3. April Algebra 3
University of Copenhagen Faculty of Science Written Exam - 3. April 2009 Algebra 3 This exam contains 5 exercises which are to be solved in 3 hours. The exercises are posed in an English and in a Danish
Læs mereUniversity of Copenhagen Faculty of Science Written Exam April Algebra 3
University of Copenhagen Faculty of Science Written Exam - 16. April 2010 Algebra This exam contains 5 exercises which are to be solved in hours. The exercises are posed in an English and in a Danish version.
Læs mereUniversity of Copenhagen Faculty of Science Written Exam - 8. April 2008. Algebra 3
University of Copenhagen Faculty of Science Written Exam - 8. April 2008 Algebra 3 This exam contains 5 exercises which are to be solved in 3 hours. The exercises are posed in an English and in a Danish
Læs mereBasic statistics for experimental medical researchers
Basic statistics for experimental medical researchers Sample size calculations September 15th 2016 Christian Pipper Department of public health (IFSV) Faculty of Health and Medicinal Science (SUND) E-mail:
Læs mereSign variation, the Grassmannian, and total positivity
Sign variation, the Grassmannian, and total positivity arxiv:1503.05622 Slides available at math.berkeley.edu/~skarp Steven N. Karp, UC Berkeley FPSAC 2015 KAIST, Daejeon Steven N. Karp (UC Berkeley) Sign
Læs mereSome results for the weighted Drazin inverse of a modified matrix
International Journal of Applied Mathematics Computation Journal homepage: www.darbose.in/ijamc ISSN: 0974-4665 (Print) 0974-4673 (Online) Volume 6(1) 2014 1 9 Some results for the weighted Drazin inverse
Læs mereBesvarelser til Lineær Algebra Reeksamen Februar 2017
Besvarelser til Lineær Algebra Reeksamen - 7. Februar 207 Mikkel Findinge Bemærk, at der kan være sneget sig fejl ind. Kontakt mig endelig, hvis du skulle falde over en sådan. Dette dokument har udelukkende
Læs mereProbabilistic properties of modular addition. Victoria Vysotskaya
Probabilistic properties of modular addition Victoria Vysotskaya JSC InfoTeCS, NPK Kryptonite CTCrypt 19 / June 4, 2019 vysotskaya.victory@gmail.com Victoria Vysotskaya (Infotecs, Kryptonite) Probabilistic
Læs mereMultivariate Extremes and Dependence in Elliptical Distributions
Multivariate Extremes and Dependence in Elliptical Distributions Filip Lindskog, RiskLab, ETH Zürich joint work with Henrik Hult, KTH Stockholm I II III IV V Motivation Elliptical distributions A class
Læs mereDoodleBUGS (Hands-on)
DoodleBUGS (Hands-on) Simple example: Program: bino_ave_sim_doodle.odc A simulation example Generate a sample from F=(r1+r2)/2 where r1~bin(0.5,200) and r2~bin(0.25,100) Note that E(F)=(100+25)/2=62.5
Læs mereOn the complexity of drawing trees nicely: corrigendum
Acta Informatica 40, 603 607 (2004) Digital Object Identifier (DOI) 10.1007/s00236-004-0138-y On the complexity of drawing trees nicely: corrigendum Thorsten Akkerman, Christoph Buchheim, Michael Jünger,
Læs mereStrings and Sets: set complement, union, intersection, etc. set concatenation AB, power of set A n, A, A +
Strings and Sets: A string over Σ is any nite-length sequence of elements of Σ The set of all strings over alphabet Σ is denoted as Σ Operators over set: set complement, union, intersection, etc. set concatenation
Læs mereKurver og flader Aktivitet 15 Geodætiske kurver, Isometri, Mainardi-Codazzi, Teorema Egregium
Kurver og flader Aktivitet 15 Geodætiske kurver, Isometri, Mainardi-Codazzi, Teorema Egregium Lisbeth Fajstrup Institut for Matematiske Fag Aalborg Universitet Kurver og Flader 2013 Lisbeth Fajstrup (AAU)
Læs mereLinear Programming ١ C H A P T E R 2
Linear Programming ١ C H A P T E R 2 Problem Formulation Problem formulation or modeling is the process of translating a verbal statement of a problem into a mathematical statement. The Guidelines of formulation
Læs mereComputing the constant in Friedrichs inequality
Computing the constant in Friedrichs inequality Tomáš Vejchodský vejchod@math.cas.cz Institute of Mathematics, Žitná 25, 115 67 Praha 1 February 8, 212, SIGA 212, Prague Motivation Classical formulation:
Læs mereCurve Modeling B-Spline Curves. Dr. S.M. Malaek. Assistant: M. Younesi
Curve Modeling B-Spline Curves Dr. S.M. Malaek Assistant: M. Younesi Motivation B-Spline Basis: Motivation Consider designing the profile of a vase. The left figure below is a Bézier curve of degree 11;
Læs mereParticle-based T-Spline Level Set Evolution for 3D Object Reconstruction with Range and Volume Constraints
Particle-based T-Spline Level Set for 3D Object Reconstruction with Range and Volume Constraints Robert Feichtinger (joint work with Huaiping Yang, Bert Jüttler) Institute of Applied Geometry, JKU Linz
Læs mereGeneralized Probit Model in Design of Dose Finding Experiments. Yuehui Wu Valerii V. Fedorov RSU, GlaxoSmithKline, US
Generalized Probit Model in Design of Dose Finding Experiments Yuehui Wu Valerii V. Fedorov RSU, GlaxoSmithKline, US Outline Motivation Generalized probit model Utility function Locally optimal designs
Læs mereStatistik for MPH: 7
Statistik for MPH: 7 3. november 2011 www.biostat.ku.dk/~pka/mph11 Attributable risk, bestemmelse af stikprøvestørrelse (Silva: 333-365, 381-383) Per Kragh Andersen 1 Fra den 6. uges statistikundervisning:
Læs mereVina Nguyen HSSP July 13, 2008
Vina Nguyen HSSP July 13, 2008 1 What does it mean if sets A, B, C are a partition of set D? 2 How do you calculate P(A B) using the formula for conditional probability? 3 What is the difference between
Læs mereMONOTONE POSITIVE SOLUTIONS FOR p-laplacian EQUATIONS WITH SIGN CHANGING COEFFICIENTS AND MULTI-POINT BOUNDARY CONDITIONS
Electronic Journal of Differential Equations, Vol. 22, No. 22, pp. 2. ISSN: 72-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu MONOTONE POSITIVE SOLUTIONS FOR
Læs merePARALLELIZATION OF ATTILA SIMULATOR WITH OPENMP MIGUEL ÁNGEL MARTÍNEZ DEL AMOR MINIPROJECT OF TDT24 NTNU
PARALLELIZATION OF ATTILA SIMULATOR WITH OPENMP MIGUEL ÁNGEL MARTÍNEZ DEL AMOR MINIPROJECT OF TDT24 NTNU OUTLINE INEFFICIENCY OF ATTILA WAYS TO PARALLELIZE LOW COMPATIBILITY IN THE COMPILATION A SOLUTION
Læs mereEric Nordenstam 1 Benjamin Young 2. FPSAC 12, Nagoya, Japan
Eric 1 Benjamin 2 1 Fakultät für Matematik Universität Wien 2 Institutionen för Matematik Royal Institute of Technology (KTH) Stockholm FPSAC 12, Nagoya, Japan The Aztec Diamond Aztec diamonds of orders
Læs mereTrolling Master Bornholm 2016 Nyhedsbrev nr. 5
Trolling Master Bornholm 2016 Nyhedsbrev nr. 5 English version further down Kim Finne med 11 kg laks Laksen blev fanget i denne uge øst for Bornholm ud for Nexø. Et andet eksempel er her to laks taget
Læs mereIBM Network Station Manager. esuite 1.5 / NSM Integration. IBM Network Computer Division. tdc - 02/08/99 lotusnsm.prz Page 1
IBM Network Station Manager esuite 1.5 / NSM Integration IBM Network Computer Division tdc - 02/08/99 lotusnsm.prz Page 1 New esuite Settings in NSM The Lotus esuite Workplace administration option is
Læs mereAdditive Property of Drazin Invertibility of Elements in a Ring
Filomat 30:5 (2016), 1185 1193 DOI 10.2298/FIL1605185W Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Additive Property of Drazin
Læs merewhat is this all about? Introduction three-phase diode bridge rectifier input voltages input voltages, waveforms normalization of voltages voltages?
what is this all about? v A Introduction three-phase diode bridge rectifier D1 D D D4 D5 D6 i OUT + v OUT v B i 1 i i + + + v 1 v v input voltages input voltages, waveforms v 1 = V m cos ω 0 t v = V m
Læs mereProject Step 7. Behavioral modeling of a dual ported register set. 1/8/ L11 Project Step 5 Copyright Joanne DeGroat, ECE, OSU 1
Project Step 7 Behavioral modeling of a dual ported register set. Copyright 2006 - Joanne DeGroat, ECE, OSU 1 The register set Register set specifications 16 dual ported registers each with 16- bit words
Læs mereSatisability of Boolean Formulas
SAT exercises 1 March, 2016 slide 1 Satisability of Boolean Formulas Combinatorics and Algorithms Prof. Emo Welzl Assistant: (CAB G36.1, cannamalai@inf.ethz.ch) URL: http://www.ti.inf.ethz.ch/ew/courses/sat16/
Læs mereStatistik for MPH: oktober Attributable risk, bestemmelse af stikprøvestørrelse (Silva: , )
Statistik for MPH: 7 29. oktober 2015 www.biostat.ku.dk/~pka/mph15 Attributable risk, bestemmelse af stikprøvestørrelse (Silva: 333-365, 381-383) Per Kragh Andersen 1 Fra den 6. uges statistikundervisning:
Læs mereFeebly projectable l-groups
Algebra Univers. 62 (2009) 91 112 DOI 10.1007/s00012-010-0041-z Published online January 22, 2010 Birkhäuser Verlag Basel/Switzerland 2010 Feebly projectable l-groups Algebra Universalis Michelle L. Knox
Læs mereResource types R 1 1, R 2 2,..., R m CPU cycles, memory space, files, I/O devices Each resource type R i has W i instances.
System Model Resource types R 1 1, R 2 2,..., R m CPU cycles, memory space, files, I/O devices Each resource type R i has W i instances. Each process utilizes a resource as follows: request use e.g., request
Læs mereSkriftlig Eksamen Kombinatorik, Sandsynlighed og Randomiserede Algoritmer (DM528)
Skriftlig Eksamen Kombinatorik, Sandsynlighed og Randomiserede Algoritmer (DM58) Institut for Matematik og Datalogi Syddansk Universitet, Odense Torsdag den 1. januar 01 kl. 9 13 Alle sædvanlige hjælpemidler
Læs mere19.3. Second Order ODEs. Introduction. Prerequisites. Learning Outcomes
Second Order ODEs 19.3 Introduction In this Section we start to learn how to solve second-order differential equations of a particular type: those that are linear and that have constant coefficients. Such
Læs mereX M Y. What is mediation? Mediation analysis an introduction. Definition
What is mediation? an introduction Ulla Hvidtfeldt Section of Social Medicine - Investigate underlying mechanisms of an association Opening the black box - Strengthen/support the main effect hypothesis
Læs mereGusset Plate Connections in Tension
Gusset Plate Connections in Tension Jakob Schmidt Olsen BSc Thesis Department of Civil Engineering 2014 DTU Civil Engineering June 2014 i Preface This project is a BSc project credited 20 ECTS points written
Læs mereNoter til kursusgang 9, IMAT og IMATØ
Noter til kursusgang 9, IMAT og IMATØ matematik og matematik-økonomi studierne 1. basissemester Esben Høg 4. november 013 Institut for Matematiske Fag Aalborg Universitet Esben Høg Noter til kursusgang
Læs mereThe X Factor. Målgruppe. Læringsmål. Introduktion til læreren klasse & ungdomsuddannelser Engelskundervisningen
The X Factor Målgruppe 7-10 klasse & ungdomsuddannelser Engelskundervisningen Læringsmål Eleven kan give sammenhængende fremstillinger på basis af indhentede informationer Eleven har viden om at søge og
Læs mereAktivering af Survey funktionalitet
Surveys i REDCap REDCap gør det muligt at eksponere ét eller flere instrumenter som et survey (spørgeskema) som derefter kan udfyldes direkte af patienten eller forsøgspersonen over internettet. Dette
Læs mereParallelogram-free distance-regular graphs having completely regular strongly regular subgraphs
J Algebr Comb (2009) 30: 401 413 DOI 10.1007/s10801-009-0167-2 Parallelogram-free distance-regular graphs having completely regular strongly regular subgraphs Hiroshi Suzuki Received: 29 December 2007
Læs mereReexam questions in Statistics and Evidence-based medicine, august sem. Medis/Medicin, Modul 2.4.
Reexam questions in Statistics and Evidence-based medicine, august 2013 2. sem. Medis/Medicin, Modul 2.4. Statistics : ESSAY-TYPE QUESTION 1. Intelligence tests are constructed such that the average score
Læs mereVores mange brugere på musskema.dk er rigtig gode til at komme med kvalificerede ønsker og behov.
På dansk/in Danish: Aarhus d. 10. januar 2013/ the 10 th of January 2013 Kære alle Chefer i MUS-regi! Vores mange brugere på musskema.dk er rigtig gode til at komme med kvalificerede ønsker og behov. Og
Læs mereEngelsk. Niveau D. De Merkantile Erhvervsuddannelser September Casebaseret eksamen. og
052431_EngelskD 08/09/05 13:29 Side 1 De Merkantile Erhvervsuddannelser September 2005 Side 1 af 4 sider Casebaseret eksamen Engelsk Niveau D www.jysk.dk og www.jysk.com Indhold: Opgave 1 Presentation
Læs mereUser Manual for LTC IGNOU
User Manual for LTC IGNOU 1 LTC (Leave Travel Concession) Navigation: Portal Launch HCM Application Self Service LTC Self Service 1. LTC Advance/Intimation Navigation: Launch HCM Application Self Service
Læs merePortal Registration. Check Junk Mail for activation . 1 Click the hyperlink to take you back to the portal to confirm your registration
Portal Registration Step 1 Provide the necessary information to create your user. Note: First Name, Last Name and Email have to match exactly to your profile in the Membership system. Step 2 Click on the
Læs mereSkriftlig Eksamen Automatteori og Beregnelighed (DM17)
Skriftlig Eksamen Automatteori og Beregnelighed (DM17) Institut for Matematik & Datalogi Syddansk Universitet Odense Campus Lørdag, den 15. Januar 2005 Alle sædvanlige hjælpemidler (lærebøger, notater
Læs mereSkriftlig Eksamen Beregnelighed (DM517)
Skriftlig Eksamen Beregnelighed (DM517) Institut for Matematik & Datalogi Syddansk Universitet Mandag den 31 Oktober 2011, kl. 9 13 Alle sædvanlige hjælpemidler (lærebøger, notater etc.) samt brug af lommeregner
Læs mere1 What is the connection between Lee Harvey Oswald and Russia? Write down three facts from his file.
Lee Harvey Oswald 1 Lee Harvey Oswald s profile Read Oswald s profile. Answer the questions. 1 What is the connection between Lee Harvey Oswald and Russia? Write down three facts from his file. 2 Oswald
Læs mereFACULTY OF SCIENCE :59 COURSE. BB838: Basic bioacoustics using Matlab
FACULTY OF SCIENCE 01-12- 11:59 COURSE BB838: Basic bioacoustics using Matlab 28.03. Table Of Content Internal Course Code Course title ECTS value STADS ID (UVA) Level Offered in Duration Teacher responsible
Læs mereHelp / Hjælp
Home page Lisa & Petur www.lisapetur.dk Help / Hjælp Help / Hjælp General The purpose of our Homepage is to allow external access to pictures and videos taken/made by the Gunnarsson family. The Association
Læs merePontryagin Approximations for Optimal Design of Elastic Structures
Pontryagin Approximations for Optimal Design of Elastic Structures Jesper Carlsson NADA, KTH jesperc@nada.kth.se Collaborators: Anders Szepessy, Mattias Sandberg October 5, 2005 A typical optimal design
Læs mereDM549. Hvilke udsagn er sande? Which propositions are true? Svar 1.a: x Z: x > x 1. Svar 2.h: x Z: y Z: x + y = 5. Svar 1.e: x Z: y Z: x + y < x y
DM549 Spørgsmål 1 (8%) Hvilke udsagn er sande? Which propositions are true? Svar 1.a: x Z: x > x 1 Svar 1.b: x Z: y Z: x + y = 5 Svar 1.c: x Z: y Z: x + y = 5 Svar 1.d: x Z: y Z: x 2 + 2y = 0 Svar 1.e:
Læs mereUNISONIC TECHNOLOGIES CO.,
UNISONIC TECHNOLOGIES CO., 3 TERMINAL 1A NEGATIVE VOLTAGE REGULATOR DESCRIPTION 1 TO-263 The UTC series of three-terminal negative regulators are available in TO-263 package and with several fixed output
Læs mereEngelsk. Niveau C. De Merkantile Erhvervsuddannelser September 2005. Casebaseret eksamen. www.jysk.dk og www.jysk.com.
052430_EngelskC 08/09/05 13:29 Side 1 De Merkantile Erhvervsuddannelser September 2005 Side 1 af 4 sider Casebaseret eksamen Engelsk Niveau C www.jysk.dk og www.jysk.com Indhold: Opgave 1 Presentation
Læs mereDepartment of Public Health. Case-control design. Katrine Strandberg-Larsen Department of Public Health, Section of Social Medicine
Department of Public Health Case-control design Katrine Strandberg-Larsen Department of Public Health, Section of Social Medicine Case-control design Brief summary: Comparison of cases vs. controls with
Læs mereMolio specifications, development and challenges. ICIS DA 2019 Portland, Kim Streuli, Molio,
Molio specifications, development and challenges ICIS DA 2019 Portland, Kim Streuli, Molio, 2019-06-04 Introduction The current structure is challenged by different factors. These are for example : Complex
Læs mereSpecial VFR. - ved flyvning til mindre flyveplads uden tårnkontrol som ligger indenfor en kontrolzone
Special VFR - ved flyvning til mindre flyveplads uden tårnkontrol som ligger indenfor en kontrolzone SERA.5005 Visual flight rules (a) Except when operating as a special VFR flight, VFR flights shall be
Læs mereDM547/MM537. Spørgsmål 2 (3%) Hvilke udsagn er sande? Which propositions are true? Svar 1.a: x Z: x > x 1. Svar 2.h: x Z: y Z: x + y = 5. Svar 1.
DM547/MM537 Spørgsmål 1 (10%) Hvilke udsagn er sande? Which propositions are true? Svar 1.a: x Z: x > x 1 Svar 1.b: x Z: y Z: x + y = 5 Svar 1.c: x Z: y Z: x + y = 5 Svar 1.d: x Z: y Z: x 2 + 2y = 0 Svar
Læs mereDistance-regular graphs with complete multipartite μ-graphs and AT4 family
J Algebr Comb (2007) 25:459 471 DOI 10.1007/s10801-006-0046-z Distance-regular graphs with complete multipartite μ-graphs and AT4 family Aleksandar Jurišić Jack Koolen Received: 28 December 2005 / Accepted:
Læs mereTrolling Master Bornholm 2016 Nyhedsbrev nr. 3
Trolling Master Bornholm 2016 Nyhedsbrev nr. 3 English version further down Den første dag i Bornholmerlaks konkurrencen Formanden for Bornholms Trollingklub, Anders Schou Jensen (og meddomer i TMB) fik
Læs mereDesign by Contract. Design and Programming by Contract. Oversigt. Prædikater
Design by Contract Design and Programming by Contract Anne Haxthausen ah@imm.dtu.dk Informatics and Mathematical Modelling Technical University of Denmark Design by Contract er en teknik til at specificere
Læs merePrivat-, statslig- eller regional institution m.v. Andet Added Bekaempelsesudfoerende: string No Label: Bekæmpelsesudførende
Changes for Rottedatabasen Web Service The coming version of Rottedatabasen Web Service will have several changes some of them breaking for the exposed methods. These changes and the business logic behind
Læs mereDecomposition theorem for the cd-index of Gorenstein* posets
J Algebr Comb (2007) 26:225 251 DOI 10.1007/s10801-006-0055-y Decomposition theorem for the cd-index of Gorenstein* posets Richard Ehrenborg Kalle Karu Received: 20 June 2006 / Accepted: 15 December 2006
Læs mereSkriftlig Eksamen Diskret matematik med anvendelser (DM72)
Skriftlig Eksamen Diskret matematik med anvendelser (DM72) Institut for Matematik & Datalogi Syddansk Universitet, Odense Onsdag den 18. januar 2006 Alle sædvanlige hjælpemidler (lærebøger, notater etc.),
Læs mereDesign by Contract Bertrand Meyer Design and Programming by Contract. Oversigt. Prædikater
Design by Contract Bertrand Meyer 1986 Design and Programming by Contract Michael R. Hansen & Anne Haxthausen mrh@imm.dtu.dk Informatics and Mathematical Modelling Technical University of Denmark Design
Læs mereEksamen i Signalbehandling og matematik
Opgave. (%).a. Figur og afbilleder et diskret tid signal [n ] og dets DTFT. [n] bruges som input til et LTI filter med en frekvens amplitude respons som vist på figur. Hvilket af de 4 output signaler (y
Læs mereRe: Indstilling af specialet Burnside rings of fusion systems udarbejdet af Sune Precht Reeh til DMFs specialepris 2011
D E P A R T M E N T O F M A T H E M A T I C A L S C I E N C E S U N I V E R S I T Y O F C O P E N H A G E N Dansk Matematisk Forening att: Formand Professor V. L. Hansen Re: Indstilling af specialet Burnside
Læs mereDa beskrivelserne i danzig Profile Specification ikke er fuldt færdige, foreslås:
NOTAT 6. juni 2007 J.nr.: 331-3 LEA Bilag A danzig-møde 15.6.2007 Opdatering af DAN-1 og danzig Profile Specification Forslag til opdatering af Z39.50 specifikationerne efter udgivelse af Praksisregler
Læs mereFejlbeskeder i SMDB. Business Rules Fejlbesked Kommentar. Validate Business Rules. Request- ValidateRequestRegist ration (Rules :1)
Fejlbeskeder i SMDB Validate Business Rules Request- ValidateRequestRegist ration (Rules :1) Business Rules Fejlbesked Kommentar the municipality must have no more than one Kontaktforløb at a time Fejl
Læs mereAngle Ini/al side Terminal side Vertex Standard posi/on Posi/ve angles Nega/ve angles. Quadrantal angle
Mrs. Valentine AFM Objective: I will be able to identify angle types, convert between degrees and radians for angle measures, identify coterminal angles, find the length of an intercepted arc, and find
Læs mereKernel regression with Weibull-type tails supporting information
Kerel regressio with Weibull-type tails supportig iformatio Tertius de Wet Yuri Goegebeur Armelle Guillou Michael Osma May 8, 205 I order to prove Lemma, we eed the followig prelimiary result that we state,
Læs mereECE 551: Digital System * Design & Synthesis Lecture Set 5
ECE 551: Digital System * Design & Synthesis Lecture Set 5 5.1: Verilog Behavioral Model for Finite State Machines (FSMs) 5.2: Verilog Simulation I/O and 2001 Standard (In Separate File) 3/4/2003 1 ECE
Læs mereTitel: Barry s Bespoke Bakery
Titel: Tema: Kærlighed, kager, relationer Fag: Engelsk Målgruppe: 8.-10.kl. Data om læremidlet: Tv-udsendelse: SVT2, 03-08-2014, 10 min. Denne pædagogiske vejledning indeholder ideer til arbejdet med tema
Læs mereTrolling Master Bornholm 2016 Nyhedsbrev nr. 7
Trolling Master Bornholm 2016 Nyhedsbrev nr. 7 English version further down Så var det omsider fiskevejr En af dem, der kom på vandet i en af hullerne, mellem den hårde vestenvind var Lejf K. Pedersen,
Læs mereFormale Systeme 2 Sommer 2012 Prof. P. H. Schmitt
Formale Systeme 2 Sommer 2012 Prof. P. H. Schmitt I NSTITUT F U R T HEORETISCHE I NFORMATIK KIT Universita t des Landes Baden-Wu rttemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft
Læs mereThe Sperner Property
The Sperner Property Richard P. Stanley M.I.T. and U. Miami January 20, 2019 Sperner s theorem Theorem (E. Sperner, 1927). Let S 1,S 2,...,S m be subsets of an n-element set X such that S i S j for i j,
Læs mereThe Monotone Catenary Degree of Krull Monoids
Results. Math. 63 (013), 999 1031 c 01 Springer Basel AG 14-6383/13/030999-33 published online April 5, 01 DOI 10.1007/s0005-01-050-1 Results in Mathematics The Monotone Catenary Degree of Krull Monoids
Læs mereDesign til digitale kommunikationsplatforme-f2013
E-travellbook Design til digitale kommunikationsplatforme-f2013 ITU 22.05.2013 Dreamers Lana Grunwald - svetlana.grunwald@gmail.com Iya Murash-Millo - iyam@itu.dk Hiwa Mansurbeg - hiwm@itu.dk Jørgen K.
Læs mereForslag til implementering af ResearcherID og ORCID på SCIENCE
SCIENCE Forskningsdokumentation Forslag til implementering af ResearcherID og ORCID på SCIENCE SFU 12.03.14 Forslag til implementering af ResearcherID og ORCID på SCIENCE Hvad er WoS s ResearcherID? Hvad
Læs mereDet er muligt at chekce følgende opg. i CodeJudge: og
Det er muligt at chekce følgende opg. i CodeJudge:.1.7 og.1.14 Exercise 1: Skriv en forløkke, som producerer følgende output: 1 4 9 16 5 36 Bonusopgave: Modificer dit program, så det ikke benytter multiplikation.
Læs mereCHAPTER 8: USING OBJECTS
Ruby: Philosophy & Implementation CHAPTER 8: USING OBJECTS Introduction to Computer Science Using Ruby Ruby is the latest in the family of Object Oriented Programming Languages As such, its designer studied
Læs mereTrolling Master Bornholm 2015
Trolling Master Bornholm 2015 (English version further down) Sæsonen er ved at komme i omdrejninger. Her er det John Eriksen fra Nexø med 95 cm og en kontrolleret vægt på 11,8 kg fanget på østkysten af
Læs mereLøsning af skyline-problemet
Løsning af skyline-problemet Keld Helsgaun RUC, oktober 1999 Efter at have overvejet problemet en stund er min første indskydelse, at jeg kan opnå en løsning ved at tilføje en bygning til den aktuelle
Læs mereUserguide. NN Markedsdata. for. Microsoft Dynamics CRM 2011. v. 1.0
Userguide NN Markedsdata for Microsoft Dynamics CRM 2011 v. 1.0 NN Markedsdata www. Introduction Navne & Numre Web Services for Microsoft Dynamics CRM hereafter termed NN-DynCRM enable integration to Microsoft
Læs mereBusiness Rules Fejlbesked Kommentar
Fejlbeskeder i SMDB Validate Business Request- ValidateRequestRegi stration ( :1) Business Fejlbesked Kommentar the municipality must have no more than one Kontaktforløb at a time Fejl 1: Anmodning En
Læs mereSampling real algebraic varieties for topological data analysis
Sampling real algebraic varieties for topological data analysis Joint with: Emilie Dufresne (U. York) Heather Harrington (U. Oxford) Jonathan Hauenstein (U. Notre Dame) AG19, July 2019 Sampling real varieties
Læs mereMatematik 2 AL. Opgave 2 (20p)
Opgver til besvrelse i 4 timer. Alle sædvnlige hjælpemidler må medbringes. Sættet består f 6 opgver. Opgve 1, 2, 3, 4, 5 og 6 er for de studerende, der hr læst efter nyt pensum. Opgve 1, 2, 3, 4, 5, og
Læs mereFrequency Dispersion: Dielectrics, Conductors, and Plasmas
1/23 Frequency Dispersion: Dielectrics, Conductors, and Plasmas Carlos Felipe Espinoza Hernández Professor: Jorge Alfaro Instituto de Física Pontificia Universidad Católica de Chile 2/23 Contents 1 Simple
Læs mereHandling Sporadic Tasks in Off- Line Scheduled Distributed Real Time Systems
Handling Sporadic Tasks in Off- Line Scheduled Distributed Real Time Systems Damir Isović & Gerhard Fohler Department of Computer Engineering Mälardalen University, Sweden Presented by : Aseem Lalani Outline
Læs mereFejlbeskeder i Stofmisbrugsdatabasen (SMDB)
Fejlbeskeder i Stofmisbrugsdatabasen (SMDB) Oversigt over fejlbeskeder (efter fejlnummer) ved indberetning til SMDB via webløsning og via webservices (hvor der dog kan være yderligere typer fejlbeskeder).
Læs mereBasic Design Flow. Logic Design Logic synthesis Logic optimization Technology mapping Physical design. Floorplanning Placement Fabrication
Basic Design Flow System design System/Architectural Design Instruction set for processor Hardware/software partition Memory, cache Logic design Logic Design Logic synthesis Logic optimization Technology
Læs mereDET KONGELIGE BIBLIOTEK NATIONALBIBLIOTEK OG KØBENHAVNS UNIVERSITETS- BIBLIOTEK. Index
DET KONGELIGE Index Download driver... 2 Find the Windows 7 version.... 2 Download the Windows Vista driver.... 4 Extract driver... 5 Windows Vista installation of a printer.... 7 Side 1 af 12 DET KONGELIGE
Læs mereSlot diffusers. Slot diffusers LD-17, LD-18
LD-17, LD-18 Application LD-17 and LD-18 are designed for supply of cold or warm air in rooms with a height between. m and 4 m. They allow easy setting of air deflectors for different modes of operation
Læs mereTitel: Hungry - Fedtbjerget
Titel: Hungry - Fedtbjerget Tema: fedme, kærlighed, relationer Fag: Engelsk Målgruppe: 8.-10.kl. Data om læremidlet: Tv-udsendelse: TV0000006275 25 min. DR Undervisning 29-01-2001 Denne pædagogiske vejledning
Læs mereDM559/DM545 Linear and integer programming
Department of Mathematics and Computer Science University of Southern Denmark, Odense June 10, 2017 Marco Chiarandini DM559/DM545 Linear and integer programming Sheet 12, Spring 2017 [pdf format] The following
Læs mereMandara. PebbleCreek. Tradition Series. 1,884 sq. ft robson.com. Exterior Design A. Exterior Design B.
Mandara 1,884 sq. ft. Tradition Series Exterior Design A Exterior Design B Exterior Design C Exterior Design D 623.935.6700 robson.com Tradition OPTIONS Series Exterior Design A w/opt. Golf Cart Garage
Læs mereOn edge orienting methods for graph coloring
J Comb Optim (007) 13:163 178 DOI 10.1007/s10878-006-9019-3 On edge orienting methods for graph coloring Bernard Gendron Alain Hertz Patrick St-Louis Published online: 4 November 006 C Science + Business
Læs mereMeasuring Evolution of Populations
Measuring Evolution of Populations 2007-2008 5 Agents of evolutionary change Mutation Gene Flow Non-random mating Genetic Drift Selection Populations & gene pools Concepts a population is a localized group
Læs mere