Volume 2012, Issue 1 890678
Research Article
Open Access

Common Fixed Point Theorems in a New Fuzzy Metric Space

Weiquan Zhang

Corresponding Author

Weiquan Zhang

School of Information Engineering, Guangdong Medical College, Dongguan, Guangdong 523808, China gdmc.edu.cn

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Dong Qiu

Dong Qiu

College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Nanan, Chongqing 400065, China cqupt.edu.cn

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Zhifeng Li

Zhifeng Li

School of Information Engineering, Guangdong Medical College, Dongguan, Guangdong 523808, China gdmc.edu.cn

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Gangqiang Xiong

Gangqiang Xiong

School of Information Engineering, Guangdong Medical College, Dongguan, Guangdong 523808, China gdmc.edu.cn

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First published: 15 February 2012
Citations: 1
Academic Editor: Yeong-Cheng Liou

Abstract

We generalize the Hausdorff fuzzy metric in the sense of Rodríguez-López and Romaguera, and we introduce a new M-fuzzy metric, where M-fuzzy metric can be thought of as the degree of nearness between two fuzzy sets with respect to any positive real number. Moreover, under ϕ-contraction condition, in the fuzzy metric space, we give some common fixed point theorems for fuzzy mappings.

1. Introduction

The concept of fuzzy sets was introduced initially by Zadeh [1] in 1965. After that, to use this concept in topology and analysis, many authors have expansively developed the theory of fuzzy sets and application [2, 3]. In the theory of fuzzy topological spaces, one of the main problems is to obtain an appropriate and consistent notion of fuzzy metric space. This problem was investigated by many authors [413] from different points of view. George and Veeramani’s fuzzy metric space [6] has been widely accepted as an appropriate notion of metric fuzziness in the sense that it provides rich topological structures which can be obtained, in many cases, from classical theorems. Further, it is necessary to mention that this fuzzy metric space has very important application in studying fixed point theorems for contraction-type mappings [7, 1416]. Besides that, a number of metrics are used on subspaces of fuzzy sets. For example, the sendograph metric [1719] and the d-metric for fuzzy sets [2025] induced by the Hausdorff-Pompeiu metric have been studied most frequently, where d-metric is an ordinary metric between two fuzzy sets. Combining fuzzy metric (in the sense of George and Veeramani) and Hausdorff-Pompeiu metric, Rodríguez-Lópezand Romaguera [26] construct a Hausdorff fuzzy metric, where Hausdorff fuzzy metric can be thought of as the degree of nearness between two crisp nonempty compact sets with respect to any positive real number.

In this present investigation, considering the Hausdorff-Pompeiu metric and theories on fuzzy metric spaces (in the sense of George and Veeramani) together, we study the degree of nearness between two fuzzy sets as a natural generalization of the degree of nearness between two crisp sets, in turn, it helps in studying new problems in fuzzy topology. Based on the Hausdorff fuzzy metric HM, we introduce a suitable notion for the M-fuzzy metric on the fuzzy sets whose λ-cut are nonempty compact for each λ ∈ [0,1]. In particular, we explore several properties of M-fuzzy metric. Then, under ϕ-contraction condition, we give some common fixed point theorems in the fuzzy metric space on fuzzy sets.

2. Preliminaries

According to [27], a binary operation * : [0,1]×[0,1]→[0,1] is called a continuous t-norm if ([0,1], *) is an Abelian topological semigroups with unit 1 such that a*bc*d whenever ac and bd for all a, b, c, d ∈ [0,1].

Definition 2.1 (see [6].)The 3-tuple (X, M, *) is said to be a fuzzy metric space if X is an arbitrary set, * is a continuous t-norm, and M is a fuzzy set on X2 × (0, ) satisfying the following conditions, for all x, y, zX,   t, s > 0:

  • (i)

    M(x, y, t) > 0;

  • (ii)

    M(x, y, t) = 1 if and only if x = y;

  • (iii)

    M(x, y, t) = M(y, x, t);

  • (iv)

    M(x, z, t + s) ≥ M(x, y, t)*M(z, y, s);

  • (v)

    M(x, y, −):(0, )→[0,1] is continuous.

If (X, M, *) is a fuzzy metric space, it will be said that (M, *) is a fuzzy metric on X.

A simply but useful fact [7] is that M(x, y, −) is nondecreasing for all x, yX. Let (X, d) be a metric space. Denote by a · b the usual multiplication for all a, b ∈ [0,1], and let Md be the fuzzy set defined on X × X × (0, ) by
()
Then, (X, Md, ·) is a fuzzy metric space, and (Md, ·) is called the standard fuzzy metric induced by d [8].
George and Veeramani [6] proved that every fuzzy metric (M, *) on X generates a topology τM on X which has a base the family of open sets of the form:
()
where BM(x, ε, t) = {yX : M(x, y, t) > 1 − ε} for all ε ∈ (0,1) and t > 0. They proved that (X, τM) is a Hausdorff first countable topological space. Moreover, if (X, d) is a metric space, then the topology generated by d coincides with the topology generated by the induced fuzzy metric (Md, *) (see [8]).

Lemma 2.2 (see [6].)Let (X, M, *) be a fuzzy metric space and let τ be the topology induced by the fuzzy metric. Then, for a sequence {xn} n in X, xnx if and only if M(xn, x, t) → 1 as n for all t > 0.

Definition 2.3 (see [6].)A sequence {xn} n in a fuzzy metric space (X, M, *) is called a Cauchy sequence if and only if for each 1 > ε > 0,   t > 0, there exists n0 such that M(xn, xm, t) > 1 − ε for all n, mn0. A fuzzy metric space is said to be complete if and only if every Cauchy sequence is convergent.

Definition 2.4 (see [13].)Let A be a nonempty subset of a fuzzy metric space (X, M, *). For aX and t > 0, M(a, A, t) = sup {M(a, y, t)∣yA,   t > 0}.

Lemma 2.5 (see [28].)Let G be a set and let {Gα : α ∈ [0,1]} be a family of subsets of G such that

  • (1)

    G0 = G;

  • (2)

    αβ implies GβGα;

  • (3)

    α1α2 ≤ ⋯, lim nαn = α implies .

Then, the function φ : G → [0,1] defined by φ(x) = sup {α ∈ [0,1] : xGα} has the property that {xG : φ(x) ≥ α} = Gα  for every α ∈ [0,1].

Next, we recall some pertinent concepts on Hausdorff fuzzy metric. Denote by C0(X) the set of nonempty closed and bounded subsets of a metric space (X, d). It is well known (see, e.g., [29]) that the function Hd defined on C0(X) × C0(X) by
()
for all A, BC0(X), is a metric on C0(X) called the Hausdorff-Pompeiu metric. In [30], it is proved that the metric (C(X), H) is complete provided X is complete.
Let C(X) be the set of all nonempty compact subsets of a fuzzy metric space (X, M, *), A, BC(X), t > 0, according to [26], the Hausdorff fuzzy metric HM on C(X) × C(X)×(0, ) is defined as
()
where ρ(A, B, t) = inf aA  M(a, B, t), and (HM, *) is a fuzzy metric on C(X). It is shown that ρ(A, B, t) = 1 if and only if AB, and HM(A, B, t) = 1 if and only if A = B.

Lemma 2.6 (see [26].)Let (X, M, *) be a fuzzy metric space. Then, (C(X), HM, *) is complete if and only if (X, M, *) is complete.

Lemma 2.7 (see [26].)Let (X, d) be a metric space. Then, the Hausdorff fuzzy metric of the standard fuzzy metric (Md, ·) coincides with standard fuzzy metric of the Hausdorff metric Hd on C(X).

3. On M-Fuzzy Metric

Let (X, M, *) be a fuzzy metric space. Denote by 𝒞(X) the totality of fuzzy sets:
()
which satisfy that, for each λI, the λ-cut of μ,
()
is nonempty compact in X.

Definition 3.1. Let (X, M, *) be a fuzzy metric space. The M-fuzzy metric between two fuzzy sets is induced by the Hausdorff fuzzy metric HM as

()
where μ1, μ2𝒞(X),   t > 0, and
()
is the fuzzy separation of μ1 from μ2.

Lemma 3.2. Let (X, M, *) be a fuzzy metric space, μ1, μ2, μ3𝒞(X), s, t > 0. Then one has

  • (1)

    M(μ1, μ2, t)∈(0,1],

  • (2)

    M(μ1, μ2, t) = M(μ2, μ1, t),

  • (3)

    ρ(μ1, μ2, t) = 1 if and only if μ1μ2,

  • (4)

    M(μ1, μ2, t) = 1 if and only if μ1 = μ2,

  • (5)

    if μ1μ2, then ρ(μ1, μ3, t + s) ≥ M(μ2, μ3, t),

  • (6)

    ρ(μ1, μ3, t + s) ≥ M(μ1, μ2, t)*ρ(μ2, μ3, s),

  • (7)

    M(μ1, μ3, t + s) ≥ M(μ1, μ2, t)*M(μ2, μ3, s),

  • (8)

    M(μ1, μ2, −):(0, )→[0,1] is continuous.

Proof. For (1), by the definition of the λ-cut [μ1] λ, for every λI, [μ1] λ is nonempty compact in X. By the theorem of nested intervals, there exists a point a0 in [μ1] λ for every λI, likewise, there exists a points b0 in [μ2] λ for every λI. Thus, M(μ1, μ2, t) > 0. Moreover, it is clear that A = BHM(A, B, t) = 1⇔M(μ1, μ2, t) = 1.

For (2), it is clear that M(μ1, μ2, t) = M(μ2, μ1, t).

For (3), since ρ(μ1, μ2, t) = 1 if and only if ρ([μ1] λ, [μ2] λ, t) = 1 for all λI, which implies [μ1] λ⊆[μ2] λ for all λI, we have that ρ(μ1, μ2, t) = 1 if and only if μ1μ2.

For (4), it follows from (3).

For (5), for every λI, any x ∈ [μ1] λ, y ∈ [μ2] λ and z ∈ [μ3] λ, by the proof of Theorem  1 in [26], we have

()
with all x, y, zX, which implies
()
for all x ∈ [μ1] λ and all y ∈ [μ2] λ. Since μ1μ2, then ρ([μ1] λ, [μ2] λ, s) = 1. By (iv) of Definition 2.1 and the arbitrariness of x and y, we have
()
which implies
()
Consequently, ρ(μ1, μ3, t + s) ≥ M(μ2, μ3, t).

For (6), for every λI, by the proof of (5) and (iv) of Definition 2.1, we have

()
Consequently, ρ(μ1, μ3, t + s) ≥ M(μ1, μ2, t)*ρ(μ2, μ3, s).

For (7), for every λI, by the proof of (6), we have

()
Similarly, it can be shown that
()
Hence, M(μ1, μ3, t + s) ≥ M(μ1, μ2, t)*M(μ2, μ3, s).

For (8), by the continuity on (0, ) of the function tHM(A, B, t), it is clear that M(μ1, μ2, −):(0, )→[0,1] is continuous.

Theorem 3.3. Let (X, M, *) be a fuzzy metric space. Then, (𝒞(X), M, *) is a fuzzy metric space, where M is a fuzzy set on the 𝒞(X) × 𝒞(X)×(0, +).

Proof. It is easily proved by Lemma 3.2.

Example 3.4. Let d be the Euclidean metric on , and let A = [a1, a2] and let B = [b1, b2] be two compact intervals. Then, Hd(A, B) = max {|a1b1 | , |a2b2|}. Let (, Md, *) be a fuzzy metric space, where a*b the usual multiplication for all a, b ∈ [0,1], and Md is defined on × × (0, ) by

()
Denote by 𝒞() the totality of fuzzy sets μ : → [0,1] which satisfy that for each λI, the λ-cut of μ[μ] λ = {x : μ(x) ≥ λ} is a nonempty compact interval. For any λ-cuts of fuzzy sets μ1, μ2𝒞() and for all t > 0, by a simple calculation, we have
()
So by Definition 3.1, we get
()

4. Properties of the M-Fuzzy Metric

Definition 4.1. Let (𝒞(X), M, *) be a fuzzy metric space. For t ∈ (0, +), define B(μ, r, t) with center a fuzzy set μ𝒞(X) and radius r, 0 < r < 1, t > 0 as

()

Proposition 4.2. Every B(μ, r, t) is an open set.

Proof. It is identical with the proof in [6].

Proposition 4.3. Let (𝒞(X), M, *) be a fuzzy metric space. Define .

Then, is a topology on 𝒞(X).

Proof. It is identical with the proof in [6].

Definition 4.4. A sequence {μn} in a fuzzy metric space (𝒞(X), M, *) is a Cauchy sequence if and only if for each ε > 0, t > 0, there exists n0 such that M(μn, μm, t) > 1 − ε for all n, mn0.

Lemma 4.5. Let (𝒞(X), M, *) be a fuzzy metric space on fuzzy metric M and let τ be the topology induced by the fuzzy metric M. Then, for a sequence {μn} in 𝒞(X), μnμ if and only if M(μ, μn, t) → 1 as n.

Proof. It is identical with the proof of Theorem  3.11 in [6].

Theorem 4.6. The fuzzy metric space (𝒞(X), M, *) is complete provided (X, M, *) is complete.

Proof. Let (X, M, *) be a complete fuzzy metric space and let a sequence {μn, n ≥ 1} be a Cauchy sequence in 𝒞(X). Consider a fixed 0 < λ < 1. Then, {[μn] λ, n ≥ 1} is a Cauchy sequence in (C(X), HM, *), where C(X) denotes all nonempty compact subsets of (X, M, *).

Since (C(X), HM, *) is complete by Lemma 2.6, it follows that [μn] λμλC(X). Actually, from the definition of M and the continuity of HM, it is easy to see that [μn] λμλ, uniformly in λ ∈ [0,1].

Now, consider the family {μλ : λ ∈ [0,1]}, where μ0 = X. Take λβ, we have

()
Since [μn] β⊆[μn] λ, it follows that ρ([μn] β, [μn] λ, t/3) = 1. Thus, for each 0 < ε < 1, ρ(μβ, μλ, t) ≥ ρ(μβ, [μn] β, t/3)*ρ([μn] λ, μλ, t/3) if n is large enough. Hence, ρ(μβ, μλ, t) = 1, and by Lemma 3.2, we have μβμλ.

Now, take λn↑ and lim nλn = λ. We have to show that . It is clear that

()
On the other hand, we have
()
for fixed j. However,
()
Consequently, for every 0 < ε < 1, there exists 0 < ε0 < ε < 1 such that (1 − ε0)*(1 − ε0)*(1 − ε0) > 1 − ε. For given ε0, since [μj] λμλ, there exists such that
()
for . Now,
()
for any p ≥ 1. Since , we obtain
()
Now, for jj0 and all t > 0. Note that (since the convergence [μj] λμλ is uniform in λ) j0 does not depend on p. Since decreases to , if follows that for some p0 (depending on j).

Thus, , if j is large.

Finally, by taking j large enough, we obtain

()
that is,
()
From (4.3) and (4.9), it yields . Thus, Lemma 2.5 is applicable and there exists μ𝒞(X) for every λ ∈ [0,1] such that [μn] λμλ. It remains to show that μnμ in (𝒞(X), M, *).

Let ε > 0. Then, since {μn} is a Cauchy sequence, there exists nε such that n, m > nε implies M(μn, μm, t) > 1 − ε.

Let n(>nε) be fixed. Then,

()
Thus, μnμ in the M-fuzzy metric. The proof is completed.

Lemma 4.7. Let (X, M, *) be a compact fuzzy metric space and compact subsets A, BC(X). Then, for each xA and t > 0, there exists a yB such that M(x, y, t) ≥ HM(A, B, t).

Proof. Suppose there exists a x0A such that M(x0, y, t) < HM(A, B, t) for any yB and t > 0. Then,

()
that is,
()
So,
()
This is a contradiction with xA.

Lemma 4.8. Let (X, M, *) be a compact fuzzy metric space, t > 0 and A, BC(X). Then, for any compact set A1A, there exists a compact set B1B such that HM(A1, B1, t) ≥ HM(A, B, t).

Proof. Let C = {y: there exists a xA1 such that M(x, y, t) ≥ HM(A, B, t)} and let B1 = CB. For any xA1A,   t > 0, by Lemma 4.7, there exists a yB such that

()
Thus, B1, moreover, B1 is compact since it is closed in X and B1B.

Now, for any xA1, t > 0, there exists a yB1 such that

()
Thus, we have M(x, B1, t) ≥ HM(A, B, t), which implies that
()
Similarly, it can be shown that ρ(A1, B1, t) ≥ HM(A, B, t).

Hence, HM(A1, B1, t) ≥ HM(A, B, t). This completes the proof.

Theorem 4.9. Let (X, M, *) be a compact fuzzy metric space and μ1, μ2𝒞(X), t > 0. Then, for any μ3𝒞(X) satisfying μ3μ1, there exists a μ4𝒞(X) such that μ4μ2 and

()

Proof. Since μ1, μ2, and μ3 are normal, we have ≠ [μ3] λ⊆[μ1] λ and ≠ [μ2] λ for all λI. Let

()
and let Bλ = Cλ[μ2] λ. For any x ∈ [μ3] λ⊆[μ1] λ, by Lemma 4.7, there exists a y ∈ [μ2] λ such that
()
Thus, Bλ is nonempty compact in X, moreover, BλBγ if 0 ≤ γλ ≤ 1.

From the proof of Lemma 4.8, we have

()
By Lemma  3.1 in [28], there exists a fuzzy set μ4 with the property that [μ4] λ = Bλ for λI. Since Bλ are nonempty compact for all λI, we have μ4𝒞(X). Consequently,
()
This completes the proof.

Definition 4.10 (see [24].)Let X, Y be any fuzzy metric space. is said to be a fuzzy mapping if and only if is a mapping from the space 𝒞(X) into 𝒞(Y), that is, (μ) ∈ 𝒞(Y) for each μ𝒞(X).

5. Common Fixed Point Theorems in the Fuzzy Metric Space on Fuzzy Sets

Theorem 5.1. Let (X, M, *) be a compact fuzzy metric space and let be a sequence of fuzzy self-mappings of 𝒞(X). Let ϕ : [0,1]→[0,1] be a nondecreasing function satisfying the following condition: ϕ is continuous from the left and

()
where ϕn denote the nth iterative function of ϕ. Suppose that for each μ1, μ2𝒞(X), and for arbitrary positive integers i and j,   ij,   t > 0,
()
then there exists μ*𝒞(X) such that μ*i(μ*) for all iZ+.

Proof. Let μ0𝒞(X) and μ11(μ0). By Theorem 4.9, for any t > 0, there exists μ2𝒞(X) such that μ22(μ1) and

()
Again by Theorem 4.9, for any t > 0, we can find μ3𝒞(X) such that μ33(μ2) and
()
By induction, we produce a sequence {μn} of points of 𝒞(X) such that
()
Now, we prove that {μn} is a Cauchy sequence in 𝒞(X). In fact, for arbitrary positive integer n, by the inequality (5.2), Lemma 3.2, and the formula (5.5), we have
()
where μnn(μn−1) implies ρ(μn, n(μn−1), 2t) = 1, by (3) of Lemma 3.2. In addition, it is easy to get that ϕ(h) > h for all h ∈ (0,1). In fact, suppose that there exists some t0 ∈ (0,1) such that ϕ(h0) ≤ h0. Since ϕ is nondecreasing, we have
()
Since ϕ(h)*ϕ2(h)* ⋯ *ϕn(h) → 1 as n, for all h ∈ (0,1), then we have ϕn(h0) → 1 as n. From the inequality (5.7), we have 1 ≤ h0. This is a contradiction which implies ϕ(h) > h for all h ∈ (0,1). We can prove that M(μn−1, μn, t) ≤ M(μn, μn+1, t). In fact, if M(μn−1, μn, t) > M(μn, μn+1, t), then from the inequality (5.6), we get
()
which is a contradiction. Thus, from the inequality (5.6), we have
()
Furthermore, for arbitrary positive integers m and k, we have
()
and ϕ(h)*ϕ2(h)* ⋯ *ϕn(h) → 1 as n, for all h ∈ (0,1), it follows that
()
is convergent, which implies that {μn} is a Cauchy sequence in 𝒞(X). Since X is a compact fuzzy metric space, it follows X is complete. By Theorem 4.6, 𝒞(X) is complete. Let μnμ*. Next, we show that μ*i(μ*) for all iZ+. In fact, for arbitrary positive integers i and j, ij, by Theorem 4.9, we have
()
where μjj(μj−1) implies ρ(μj, j(μj−1), t) = 1. Letting n, M(μn, μ*, t) = 1, and using the left continuity of ϕ, we have
()
which implies ρ(μ*, i(μ*), t) = 1. Hence, by Lemma 3.2, it follows that μ*i(μ*). Then, the proof is completed.

Theorem 5.2. Let (X, M, *) be a compact fuzzy metric space and let be a sequence of fuzzy self-mappings of 𝒞(X). Suppose that for each μ1, μ2𝒞(X), and for arbitrary positive integers i and j, ij, t > 0,

()
where ϕ(h1, h2, h3, h4, h5):(0,1] 5 → [0,1] is nondecreasing and continuous from the left for each variable. Denote γ(h) = ϕ(h, h, h, a, b), where (a, b)∈{(h*h, 1), (1, h*h)}. If
()
where γn denote the nth iterative function of γ, then there exists μ*𝒞(X) such that μ*i(μ*) for all iZ+.

Proof. Let μ0𝒞(X) and μ11(μ0). By Theorem 4.9, for any t > 0, there exists μ2𝒞(X) such that μ22(μ1) and

()
Again by Theorem 4.9, for any t > 0, we can find μ3𝒞(X) such that μ33(μ2) and
()
By induction, we produce a sequence {μn} of points of 𝒞(X) such that
()
Now, we prove that {μn} is a Cauchy sequence in 𝒞(X). In fact, for arbitrary positive integer n, by the inequality (5.14), Lemma 3.2, and the formula (5.18), we have
()
where μnn(μn−1) implies ρ(μn, n(μn−1), 2t) = 1 by (3) in Lemma 3.2 Likewise, we have γ(h) > h for all h ∈ (0,1), t > 0. If M(μn−1, μn, t) > M(μn, μn+1, t), then from the inequality (5.19), we obtain
()
which is a contradiction. Thus, from the inequality (5.19), we have
()
Furthermore, for arbitrary positive integers m and k, we have
()
Furthermore, for arbitrary positive integers m and k, we have
()
Since ϕ(h)*ϕ2(h)* ⋯ *ϕn(h) → 1 as n, for all h ∈ (0,1), it follows that
()
is convergent, this implies that {μn} is a Cauchy sequence in 𝒞(X). Since X is a compact fuzzy metric space, it follows that X is complete. By Theorem 4.6, 𝒞(X) is complete. Let μnμ*. Now, we show that μ*i(μ*) for all iZ+. In fact, for arbitrary positive integers i and j, ij, by Theorem 4.9, we have
()
where μjj(μj−1) implies ρ(μj, j(μj−1), t) = 1. Letting n, M(μn, μ*, t) = 1, and using the left continuity of ϕ, we have
()
which implies ρ(μ*, i(μ*), t) = 1. Hence, by Lemma 3.2, it follows that μ*i(μ*), then the proof is completed.

Now, we give an example to illustrate the validity of the results in fixed point theory. For simplicity, we only exemplify Theorem 5.1, while the example may be similarly constructed for Theorem 5.2.

Example 5.3. Let (𝒞(X), M, *) be a fuzzy metric space, where X = [−1,1], Md, HM, and M are the same as in Example 3.4. Then, (𝒞(X), M, *) is a compact metric space.

Now, define ϕ : [0,1]→[0,1] as , and define a sequence of fuzzy self-mappings of 𝒞(X) as

()

For arbitrary positive integers i and j, without loss of generality, suppose i < j. For each μ1, μ2𝒞(X), by a routine calculation, we have

()
Therefore, by Theorem 5.1, we assert that the sequence of fuzzy self-mappings has a common fixed point μ* in 𝒞(X). In fact, it is easy to check that
()

6. Conclusion

So far many authors have made a great deal of work in the Hausdorff-Pompeiu metric [2025]. To describe the degree of nearness between two crisp sets, Rodrguez-López and Romaguera have defined Hausdorff fuzzy metric. In this paper, we define a new M-fuzzy metric, which describes the degree of nearness between two fuzzy sets. Then, some properties on M-fuzzy metric are discussed. In addition, in this new circumstances, we give some fixed point theorems which are the important generalizations of contraction mapping principle in functional analysis.

The results of the present paper may be applied in different settings. In terms of topology, one can make use of topology in data analysis and knowledge acquisition [31]. For another, topologies corresponding to fuzzy sets are used to detect dependencies of attributes in information systems with respect to gradual rules as in [32]. Furthermore, fuzzy fixed point theory can be used in existence and continuity theorems for dynamical systems with some vague parameters [33, 34]. In addition, this work offers a new tool for the description and analysis of fuzzy metric spaces. It would be possible to obtain more topological properties on the new fuzzy metric space. So, we hope our results contribute to dealing with some problems in practical applications for future study.

Acknowledgments

The authors thank the anonymous reviewers for their valuable comments. This work was supported by National Natural Science Foundation (NSFC) of China (Grant no. 61170320), Mathematical Tianyuan Foundation of China (Grant no. 11126087), Foundation of Guangdong Natural Science (no. S2011040002981), and Science and Technology Research Program of Chongqing Municipal Educational Committee (Grant no. KJ100518).

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