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Interval-Valued Fuzzy mβ-continuous mappings on Interval-Valued Fuzzy Minimal Spaces

Won Keun Min

Department of Mathematics, Kangwon National University, Chuncheon, 200-701, Korea

Abstract

We introduce the concepts of interval-valued fuzzymβ-open sets and interval-valued fuzzy mβ-continuous mappings.

And we study some characterizations and properties of such concepts.

Key words : interval-valued fuzzy minimal spaces, interval-valued fuzzy mβ-open sets, interval-valued fuzzy mβ- continuous mappings

1. Introduction

Zadeh [9] introduced the concept of fuzzy set and sev- eral researchers were concerned about the generalizations of the concept of fuzzy sets, intuitionistic fuzzy sets [1]

and interval-valued fuzzy sets [3]. In [2], Alimohammady and Roohi introduced fuzzy minimal structures and fuzzy minimal spaces and gave some results. In [5], the au- thor introduced the concept of interval-valued fuzzy min- imal space (simply, IVF minimal space) as a generaliza- tion of interval-valued fuzzy topology introduced by Mon- dal and Samanta [8]. The concept of interval-valued fuzzy m-continuous mappings on between interval-valued fuzzy minimal spaces, which are generalizations of interval- valued fuzzy continuous mappings. The concepts of interval-valued fuzzy mα-open set, interval-valued fuzzy m-semiopen set and interval-valued fuzzy m-preopen set are introduced and investigated. In this paper, we introduce the concepts of interval-valued fuzzy mβ-open sets and interval-valued fuzzymβ-continuous mappings defined on interval-valued fuzzy minimal spaces. These concepts are generalizations of interval-valued fuzzym-open sets and interval-valued fuzzym-continuity, respectively. We also study characterizations and some basic properties of such concepts.

2. Preliminaries

Let D[0, 1] be the set of all closed subintervals of the interval [0, 1]. The elements of D[0, 1] are gener- ally denoted by capital letters M, N, · · · and note that M = [ML, MU], where ML andMU are the lower and the upper end points ofM, respectively. Especially, we denote 0= [0, 0], 1 = [1, 1], and a = [a, a] for a ∈ (0, 1).

We also note that

(1) (M, N ∈ D[0, 1])(M = N ⇔ ML = NL, MU = NU).

(2) (M, N ∈ D[0, 1])(M ≤ N ⇔ ML ≤ NL, MU NU).

For everyM ∈ D[0, 1], the complement of M, denoted byMc, is defined byMc= 1 − M = [1 − MU, 1 − ML].

LetX be a nonempty set. A mapping A : X → D[0, 1]

is called an interval-valued fuzzy set(simply, IVF set) inX.

For eachx ∈ X, A(x) is a closed interval whose lower and upper end points are denoted byA(x)LandA(x)U, respec- tively. For any[a, b] ∈ D[0, 1], the IVF set whose value is the interval[a, b] for all x ∈ X is denoted by [a, b]. For a pointp ∈ X and for [a, b] ∈ D[0, 1] with b > 0, the IVF set which takes the value[a, b] at p and 0 elsewhere in X is called an interval-valued fuzzy point (simply, IVF point) and is denoted by[a, b]p. In particular, ifb = a, then it is also denoted by ap. Denoted by IVF(X) the set of all IVF sets inX. An IVF point Mx, whereM ∈ D[0, 1], is said to belong to an IVF setA in X, denoted by Mx∈A, ifA(x)L ≥ ML andA(x)U ≥ MU. In [7], it has been shown thatA = ∪{Mx: Mx∈A}.

For everyA, B ∈ IV F (X), we define

A = B ⇔ x ∈ X, ([A(x)]L = [B(x)]L and [A(x)]U = [B(x)]U),

A ⊆ B ⇔ x ∈ X, ([A(x)]L ≤ [B(x)]L and [A(x)]U ≤ [B(x)]U).

The complementAcofA is defined by, for all x ∈ X, [Ac(x)]L= 1 − [A(x)]Uand[Ac(x)]U = 1 − [A(x)]L.

For a family of IVF sets{Ai: i ∈ J} where J is an in- dex set, the unionG = ∪i∈JAiand the meetF = ∩i∈JAi

are defined by

Manuscript received Jan. 13, 2010; revised Dec. 6, 2010;

Accepted Dec. 26, 2010.

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x ∈ X, ([G(x)]L = supi∈J[Ai(x)]L, [G(x)]U = supi∈J[Ai(x)]U),

x ∈ X, ([F (x)]L = infi∈J[Ai(x)]L, [F (x)]U = infi∈J[Ai(x)]U), respectively.

Letf : X → Y be a mapping and let A be an IVF set inX. Then the image of A under f, denoted by f(A), is defined as follows

[f(A)(y)]L=

 supf(x)=y[A(x)]L, if f−1(y) = ∅,

0, otherwise,

[f(A)(y)]U =

 supf(x)=y[A(x)]U, if f−1(y) = ∅,

0, otherwise,

for ally ∈ Y .

LetB be an IVF set in Y . Then the inverse image of B underf, denoted by f−1(B), is defined by

([f−1(B)(x)]L = [B(f(x))]L, [f−1(B)(x)]U = [B(f(x))]U) for all x ∈ X.

Definition 2.1 ([5]). A familyM of interval-valued fuzzy sets inX is called an interval-valued fuzzy minimal struc- ture onX if

0, 1 ∈ M.

In this case,(X, M) is called an interval-valued fuzzy min- imal space (simply, IVF minimal space). Every member of M is called an interval-valued fuzzy m-open set (simply IVFm-open set). An IVF set A is called an IVF m-closed set if the complement ofA (simply, Ac) is an IVFm-open set.

Let(X, M) be an IVF minimal space and A in IVF(X).

The IVF minimal-closure and the IVF minimal-interior of A [5], denoted by mC(A) and mI(A), respectively, are defined as

mC(A) = ∩{B ∈ IV F (X) : Bc ∈ M and A ⊆ B}, mI(A) = ∪{B ∈ IV F (X) : B ∈ M and B ⊆ A}.

Theorem 2.2 ([5]). Let(X, M) be an IVF minimal space andA, B in IVF(X).

(1)mI(A) ⊆ A and if A is an IVF m-open set, then mI(A) = A.

(2)A ⊆ mC(A) and if A is an IVF m-closed set, then mC(A) = A.

(3) IfA ⊆ B, then mI(A) ⊆ mI(B) and mC(A) ⊆ mC(B).

(4) mI(A) ∩ mI(B) ⊇ mI(A ∩ B) and mC(A) ∪ mC(B) ⊆ mC(A ∪ B).

(5) mI(mI(A)) = mI(A) and mC(mC(A)) = mC(A).

(6) 1− mC(A) = mI(1 − A) and 1 − mI(A) = mC(1 − A).

3. Interval-valued fuzzy mβ-open sets and Interval-valued fuzzy mβ-continuous

mappings

Definition 3.1. Let(X, M) be an IVF minimal space and A in IVF(X). Then an IVF set A is called an interval- valued fuzzymβ-open (simply IVF mβ-open) set in X if

A ⊆ mC(mI(mC(A))).

And an IVF setA is called an interval-valued fuzzy mβ- closed (simply IVFmβ-closed) set if the complement of A is an IVFmβ-open set.

Remark 3.2. Let(X, M) be an IVF minimal space and A in IVF(X). If M is an IVF topology on X, then an IVF mβ-open set is IVF semi-preopen [4]

Let(X, M) be an IVF minimal space and A in IVF(X).

Then an IVF setA is called an IVF mα-open [7] (resp.

IVF m-semiopen, IVF m-preopen) set [6] in X if A ⊆ mI(mC(mI(A))) (resp. A ⊆ mC(mI(A)), A ⊆ mI(mC(A))).

From the definitions of several types of IVFm-open sets, obviously the following are obtained:

Lemma 3.3. Let(X, M) be an IVF minimal space. Then the statements are hold.

(1) Every IVFm-semiopen set is IVF mβ-open.

(2) Every IVFm-preopen set is IVF mβ-open.

(3) A is an IVF mβ-closed set if and only if mI(mC(mI(A))) ⊆ A.

Example 3.4. LetX = [0, 1] and let A, B and C be IVF sets defined as follows

A(x) = [12,12(x + 1)] for all x ∈ X;

B(x) = [12, −12(x − 2)] for all x ∈ X;

C(x) = [14,12]; D(x) = [38,12];

E(x) = [12,58]; F (x) = [0,12].

ConsiderM = {0, A, B, C, D, 1} as an IVF minimal structure onX. Then IVF sets E, F are IVF mβ-open. But E is not IVF m-preopen and F is not IVF m-semiopen.

IVFm-semiopen



IVFm-open → IVF mα-open IVFmβ-open



IVFm-preopen

Theorem 3.5. Let(X, M) be an IVF minimal space. Any union of IVFmβ-open sets is IVF mβ-open.

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Proof. LetAibe an IVFmβ-open set for i ∈ J. Then Ai⊆ mC(mI(mC((Ai)))) ⊆ mC(mI(mC(∪Ai))).

Thus∪Ai⊆ mC(mI(mC(∪Ai))).

Remark 3.6. Let(X, M) be an IVF minimal space. The intersection of any two IVFmβ-open sets may not be IVF mβ-open set as seen in the next example.

Example 3.7. In Example 3.4, the IVF setsA, B are IVF mβ-open but A ∩ B is not IVF mβ-open.

Definition 3.8. Let(X, M) be an IVF minimal space. For A ∈ IV F (X), the β-closure and the β-interior, denoted byβmC(A) and βmI(A) in (X, M), respectively, are de- fined as the following:

βmC(A) = ∩{F ∈ IV F (X) : A ⊆ F, F is IVF mβ-closed in X},

βmI(A) = ∪{U ∈ IV F (X) : U ⊆ A, U is IVF mβ-open in X}.

Theorem 3.9. Let(X, M) be an IVF minimal space and A, B ∈ IV F (X). Then

(1)βmI(A) ⊆ A.

(2) IfA ⊆ B, then βmI(A) ⊆ βmI(B).

(3)A is IVF mβ-open iff βmI(A) = A.

(4)βmI(βmI(A)) = βmI(A).

(5)βmC(1 − A) = 1 − βmI(A) and βmI(1 − A) = 1− βmC(A).

Proof. (1), (2) Obvious.

(3) It follows from Theorem 3.5.

(4) It follows from (3).

(5) ForA ∈ IV F (X),

1− βmI(A) = 1 − ∪{U : U ⊆ A, U is IVF mβ-open}

= ∩{1 − U : U ⊆ A, U is IVF mβ-open}

= ∩{1 − U : X − A ⊆ 1 − U, U is IVF mβ-open}

= βmC(1 − A).

Similarly, it is provedβmI(1−A) = 1−βmC(A).

Theorem 3.10. Let(X, M) be an IVF minimal space and A, B, F ∈ IV F (X). Then

(1)A ⊆ βmC(A).

(2) IfA ⊆ B, then βmC(A) ⊆ βmC(B).

(3)F is IVF mβ-closed iff βmC(F ) = F . (4)βmC(βmC(A)) = βmC(A).

Proof. It is similar to the proof of Theorem 3.9.

Lemma 3.11. Let(X, M) be an IVF minimal space and A, U, V ∈ IV F (X). Then

(1)Mx∈βmC(A) if and only if A ∩ V = 0 for every IVFmβ-open set V containing Mx.

(2)Mx∈βmI(A) if and only if there exists an IVF mβ- open setU such that U ⊆ A.

Proof. (1) Suppose there is an IVFmβ-open set V con- tainingMxsuch thatA ∩ V = 0. Then X − V is an IVF mβ-closed set such that A ⊆ 1 − V and Mx/∈1 − V . Thus Mx/∈βmC(A).

The converse is proved obviously.

(2) Obvious.

Definition 3.12. Let(X, MX) and (Y, MY) be two IVF minimal spaces. Thenf : (X, MX) → (Y, MY) is said to be interval-valued fuzzymβ-continuous (simply, IVF mβ- continuous) if for each IVF pointMxand each IVFm-open setV containing f(Mx), there exists an IVF mβ-open set U containing Mxsuch thatf(U) ⊆ V .

Letf : X → Y be a mapping on two IVF minimal spaces(X, MX) and (Y, MY). Then

(1)f is said to be interval-valued fuzzy minimal contin- uous (simply, IVFm-continuous) [5] if for every A ∈ MY, f−1(A) is in MX.

(2) f is said to be interval-valued fuzzy m- semicontinuous (simply, IVFm-semicontinuous) [6] if for each IVF pointMxand each IVFm-open set V containing f(Mx), there exists an m-semiopen set U containing Mx

such thatf(U) ⊆ V .

(3) f is said to be interval-valued fuzzy m- precontinuous (simply, IVF m-precontinuous) [6] if for each IVF pointMxand each IVFm-open set V containing f(Mx), there exists an IVF m-preopen set U containing Mxsuch thatf(U) ⊆ V .

(4)f is said to be interval-valued fuzzy mα-continuous (simply, IVF mα-continuous) [7] if for each IVF point Mxand each IVFm-open set V containing f(Mx), there exists an IVF mα-open set U containing Mx such that f(U) ⊆ V .

We have the following implications but the converses are not always true as shown in the next example.

IVFm-semiconti.



IVFm-conti. → IVF mα-conti. IVFmβ-conti.



IVFm-preconti.

Example 3.13. In Example 3.4, consider N = {0, E, F, 1} and the identity mapping f : (X, M) →

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(X, N ). Then f is IVF mβ-continuous but neither IVF m-semicontinuous nor IVF m-precontinuous.

Theorem 3.14. Letf : X → Y be a mapping on IVF min- imal spaces(X, MX) and (Y, MY). Then the following are equivalent:

(1)f is IVF mβ-continuous.

(2) f−1(V ) is an IVF mβ-open set for each IVF m- open setV in Y .

(3)f−1(B) is an IVF mβ-closed set for each IVF m- closed setB in Y .

(4)f(βmC(A)) ⊆ mC(f(A)) for A ∈ IV F (X).

(5) βmC(f−1(B)) ⊆ f−1(mC(B)) for B ∈ IV F (Y ).

(6)f−1(mI(B)) ⊆ βmI(f−1(B)) for B ∈ IV F (Y ).

Proof. (1) ⇒ (2) Let V be an IVF m-open set in Y and Mx∈f−1(V ). Then there exists an IVF mβ-open set UMx

containingMxsuch thatf(UMx) ⊆ V . So Mx∈UMx f−1(V ) for every Mx∈f−1(V ). Hence f−1(V ) is IVF mβ-open.

(2) ⇒ (3) Obvious.

(3) ⇒ (4) For any IVF set A in X,

f−1(mC(f(A))) = f−1(∩{F ∈ IV F (Y ) : f(A) ⊆ F andF is IVF m-closed})

= ∩{f−1(F ) : A ⊆ f−1(F ) andf−1(F ) is IVF mβ-closed}

⊇ ∩{K ∈ IV F (X) : A ⊆ K and K is IVF mβ-closed}

= βmC(A).

Hencef(βmC(A)) ⊆ mC(f(A)).

(4) ⇒ (5) Obvious.

(5) ⇒ (6) For B ∈ IV F (Y ), from mI(B) = 1 − mC(1 − B) and Theorem 3.9, it follows

f−1(mI(B)) = f−1(1 − mC(1 − B))

= 1 − f−1(mC(1 − B))

⊆ 1 − βmC(f−1(1 − B))

= βmI(f−1(B)).

Hence (6) is obtained.

(6)⇒ (1) Let Mxbe an IVF point inX and V an IVF m-open set containing f(Mx). Since V = mI(V ),

Mx∈f−1(V ) = f−1(mI(V )) ⊆ βmI(f−1(V )).

Thus from Lemma 3.11, there exists an IVFmβ-open set U containing Mxsuch thatMx∈U ⊆ f−1(V ). Hence f is IVFmβ-continuous.

Lemma 3.15. Let(X, MX) be an IVF minimal space and A ∈ IV F (X). Then

(1)mI(mC(mI(A))) ⊆ mI(mC(mI(βmC(A)))) ⊆ βmC(A).

(2) βmI(A) mC(mI(mC(βmI(A)))) mC(mI(mC(A))).

Proof. The proof is obvious from Theorem 3.9 and Theo- rem 3.10.

Theorem 3.16. Letf : X → Y be a function on IVF min- imal spaces(X, MX) and (Y, MY). Then the following are equivalent:

(1)f is IVF mβ-continuous.

(2)f−1(V ) ⊆ mC(mI(mC(f−1(V )))) for each IVF m-open set V in Y .

(3) mI(mC(mI(f−1(F )))) ⊆ f−1(F ) for each IVF m-closed set F in Y .

(4) f(mI(mC(mI(A)))) ⊆ mC(f(A)) for A ∈ IV F (X).

(5)mI(mC(mI(f−1(B)))) ⊆ f−1(mC(B)) for B ∈ IV F (Y ).

(6)f−1(mI(B)) ⊆ mC(mI(mC(f−1(B)))) for B ∈ IV F (Y ).

Proof. (1) ⇔ (2) Obvious.

(1) ⇔ (3) Obvious.

(3) ⇒ (4) Let A ∈ IV F (X). Then from Theorem 3.14 and Lemma 3.15, it follows mI(mC(mI(A))) ⊆ βmC(A) ⊆ f−1(f(βmC(A))) ⊆ f−1(mC(f(A))), and sof(mI(mC(mI(A)))) ⊆ mC(f(A)).

(4) ⇒ (5) Obvious.

(5) ⇒ (6) From (5), it follows

f−1(mI(B)) = f−1(1 − mC(1 − B))

= 1 − (f−1(mC(1 − B)))

⊆ 1 − mI(mC(mI(f−1(1 − B))))

= mC(mI(mC(f−1(B)))).

Hence, (6) is obtained.

(6) ⇒ (1) Let V an IVF m-open set in Y . Then f−1(V ) = f−1(mI(V )) ⊆ mC(mI(mC(f−1(V )))).

This impliesf−1(V ) is an IVF mβ-open set. Hence f is IVFmβ-continuous.

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References

[1] K. T. Atanassov, ”Intuitionistic fuzzy sets”, Fuzzy Sets and System, vol. 20, no. 1, pp. 87–96, 1986.

[2] M. Alimohammady and M. Roohi, ”Fuzzy min- imal structure and fuzzy minimal vector spaces”, Chaos,Solutions and Fractals, vol. 27, pp. 599–605, 2006.

[3] M. B. Gorzalczany, ”A method of inference in ap- proximate reasoning based on interval-valued fuzzy sets”, Fuzzy Sets and Systems, vol. 21, pp. 1–17, 1987.

[4] Y. B. Jun, S. S. Kim and C. S. Kim ”Interval-valued fuzzy semi-preopen sets and interval-valued fuzzy semi-precontinuos mappings”, Honam Math. J., vol.

29, no. 2, pp. 223–244, 2007.

[5] W. K. Min, ”Interval-Valued Fuzzy Minimal Struc- tures and Interval-Valued Fuzzy Minimal Spaces”, International Journal of Fuzzy Logic and Intelligent Systems, vol. 8, no. 3, pp. 202-206, 2008.

[6] W. K. Min, M. H. Kim and J. I. Kim, ”Interval-Valued Fuzzy m-semiopen sets and Interval-Valued Fuzzy

m-preopen sets on Interval-Valued Fuzzy Minimal Spaces”, Honam Mathetical J., vol. 31(1), (2009) pp.

31–43.

[7] W. K. Min and Y. H. Yoo, ”Interval-Valued Fuzzy mα-continuous mappings on Interval-Valued Fuzzy Minimal Spaces”, International Journal of Fuzzy Logic and Intelligent Systems, vol. 10, no. 1, pp. 54- 58, 2010.

[8] T. K. Mondal and S. K. Samanta, ”Topology of interval-valued fuzzy sets”, Indian J. Pure Appl.

Math., vol. 30, no. 1, pp. 23–38, 1999.

[9] L. A. Zadeh, ”Fuzzy sets”, Inform. and Control, vol.

8, pp. 338–353, 1965.

Won Keun Min

He received his Ph.D. degree in the Department of Mathematics from Korea University, Seoul, Korea, in 1987. He is currently a professor in the Department of Mathematics, Kangwon National University.

His research interests include general topology and fuzzy topology.

E-mail : wkmin@kangwon.ac.kr

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