In this paper, the notions of M-fuzzifying derived sets and M-fuzzifying derived operators are introduced, when M is a fuzzy lattice. Then their characterizations are given. What’s more, it is shown that the category of M-fuzzifying topological spaces, the category of M-fuzzifying closure spaces and the category of M-fuzzifying neighborhood spaces are all isomorphic to the category of M-fuzzifying derived spaces. Besides, we prove that the M-fuzzifying derived operators induced by M-fuzzifying neighborhood systems are equivalent to those in the sense of Ying.
The concept of derived sets was first introduced by Georg Cantor in 1872. Later, derived sets became a very useful tool in several areas, involving topology, algebra, modal logic, etc. In mathematics, more specifically in point-set topology, derived set is an important and interesting topic. It is well known that neighborhood systems, interior operators and closure operators play an important role in general topology and they are good ways to characterize topology. In addition, the concepts of accumulation points, derived sets and derived operators are also very important and there is a close relationship between derived sets and topologies in general topology [4, 8]. F.G. Shi showed that there exists a one-to-one correspondence between derived operators and topologies in [12].
With the development of fuzzy mathematics [22], the notion of derived sets has been extended to fuzzy set theory. Many papers about accumulation points, derived sets, derived operators in L-topological spaces appeared, such as [2, 18]. Nevertheless, studies on fuzzifying derived sets and fuzzifying derived operators are not so many and incomplete.
In 1991, M.S. Ying introduced the notion of [0, 1]-fuzzifying (or fuzzifying, in short) derived set by using fuzzifying neighborhood systems in [20]. But he did not give the axiomatic conditions of fuzzifying derived operators and did not discuss the relation between fuzzifying topologies and fuzzifying derived operators. In [1], although the definition of fuzzifying derived operators was given, they emphasized the fuzzifying derived operator is a family of operators on some point. Namely, D = {dx | x ∈ X} is called a fuzzifying derived operator on X, where dx : 2X ⟶ [0, 1] is a map satisfying some conditions. However, this kind definition of fuzzifying derived operators looks a bit complex and can not give the definition of fuzzifying derived set of an arbitrary subset of X.
The aims of this paper is to introduce the notions of M-fuzzifying derived sets and M-fuzzifying derived operators. In addition, the relationships among M-fuzzifying topological spaces, M-fuzzifying closure spaces, M-fuzzifying neighborhood spaces and M-fuzzifying derived spaces are all discussed from the perspective of category theory.
This paper is organized as follows. In Section 2, some preliminary notions and results are recalled. In Section 3, M-fuzzifying derived sets and M-fuzzifying derived operators are introduced and their characterizations are given. In Section 4, it is shown that the category of M-fuzzifying topological spaces, the category of M-fuzzifying closure spaces and the category of M-fuzzifying neighborhood spaces are all isomorphic to the category of M-fuzzifying derived spaces. Besides, we prove that the M-fuzzifying derived operators induced by M-fuzzifying neighborhood systems are equivalent to those in the sense of Ying.
Preliminaries
Throughout this paper, M denotes a fuzzy lattice, i.e., a completely distributive lattice with an order-reserving involution ′. The smallest element and the largest element in M are denoted by ⊥ and ⊤, respectively.
Let X be a non-empty set. We denote the set of all subsets on X by 2X and denote the set of all M-subsets on X by MX. MX is also a fuzzy lattice when it inherits the structure of the lattice M in a natural way, by defining ∧, ∨ , ≤ and ′ pointwisely. For all A ∈ MX, A′ denotes the complementary set of A. We often do not distinguish a crisp subset A ∈ 2X from its characteristic function χA. Also, we adopt the convention that ⋀∅ = ⊤ and ⋁∅ = ⊥.
An element a in M is called a co-prime element if b ∨ c ⩾ a implies b ⩾ a or c ⩾ a [6]. The set of non-zero co-prime elements in M is denoted by J (M). From [6], we know that in a completely distributive lattice, each element is the sup of co-prime elements.
We say that a is wedge below b, in symbols, a ≺ b, if for every subset D ⊆ M, ⋁D ≥ b implies a ≤ d for some d ∈ D [3]. We denote β (a) = {x ∈ M ∣ x ≺ a} and β* (a) = β (a) ∩ J (M). a ≺ opb means that if for every subset D ⊆ M, ⋀D ≤ b implies d ≤ a for some d ∈ D. Therefore a ≺ opb ⇔ a′ ≺ b′ ⇔ b ≺ a. We denote α (a) = {x ∈ M ∣ x ≺ opa}. A complete lattice M is completely distributive if and only if a = ⋁ β (a) = ⋁ β* (a) = ⋀ α (a) for each a ∈ M [19]. The wedge below relation in a completely distributive lattice has the interpolation property, i.e., if a ≺ b, then there exists c ∈ M such that a ≺ c ≺ b. Moreover, it is easy to see that a ≺ ⋀ i∈Ibi implies a ≺ bi for every i ∈ I, whereas a ≺ ⋁ i∈Ibi implies a ≺ bi for some i ∈ I [9].
Lemma 2.1. ([19]) Let M be a completely distributive lattice and let {ai ∣ i ∈ I} ⊆ M. Then
α (⋀ i∈Iai) = ⋃ i∈Iα (ai), i.e., α is a ⋀-⋃ mapping.
β (⋁ i∈Iai) = ⋃ i∈Iβ (ai), i.e., β is a union-preserving mapping.
From Lemma 2.1, we know that α is an order-reversing map and β is an order-preserving map.
For any A ∈ MX and for each a ∈ M, we use the following notations [14], A[a] = {x ∈ X ∣ A (x) ≥ a}, A[a] = {x ∈ X ∣ a ∉ α (A (x))}.For all a ∈ M and A ∈ 2X, define two M-fuzzy sets a ∧ A and a ∨ A as follows [14]:
Theorem 2.2. ([14]) If M is a completely distributive lattice, then for each A ∈ MX,
A = ⋁ a∈M (a ∧ A[a]) = ⋁ a∈J(M) (a ∧ A[a]).
A = ⋀ a∈M (a ∨ A[a]) = ⋀ a∈α(⊥) (a ∨ A[a]).
∀a ∈ M, A[a] = ⋂ b∈β(a)A[b] = ⋂ b∈β*(a)A[b].
∀a ∈ M, A[a] = ⋃ b∈α(a)A[b].
In what follows, the notions of M-fuzzifying topologies, M-fuzzifying closure operators and M-fuzzifying neighborhood systems are recalled.
Definition 2.3. ([7, 20]) An M-fuzzifying topology on X is a mapping satisfying the following axioms:
;
∀A1, A2 ∈ 2X, ;
∀ {Aj ∣ j ∈ J} ⊆2X, .
is interpreted as the degree of openness of A. The pair is called an M-fuzzifying topological space. A continuous map between two M-fuzzifying topological spaces and is a mapping f : X ⟶ Y such that for all B ∈ 2Y, where f← (B) = {x ∈ X ∣ f (x) ∈ B}.
The category of M-fuzzifying topological spaces and their continuous maps is denoted by MY-FTop.
Definition 2.4. ([16]) An M-fuzzifying closure operator on X is a mapping cl : 2X ⟶ MX satisfying the following conditions:
∀x∈ X, cl (∅) (x) = ⊥;
∀x∈ A, cl (A) (x) = ⊤;
cl (A ∪ B) = cl (A) ∨ cl (B);
cl (A) (x) = ⋀ x∉B⊇A ⋁ y∉Bcl (B) (y).
cl (A) (x) is called the degree to which x belongs to the closure of A. The pair (X, cl) is called an M-fuzzifying closure space.
A continuous map between two M-fuzzifying closure spaces (X, clX) and (Y, clY) is a mapping f : X ⟶ Y such that clX (A) (x) ≤ clY (f→ (A)) (f (x)) for all x ∈ X and A ∈ 2X, where f→ (A) = {f (x) | x ∈ A}.
The category of M-fuzzifying closure spaces and their continuous maps is denoted by MY-FCS.
Definition 2.5. ([15, 21]) An M-fuzzifying neighborhood system on X is defined to be a set of maps satisfying the following conditions:
, ;
∀x ∉ A, ;
;
.
is called the degree to which A is a neighborhood of x. The pair is called an M-fuzzifying neighborhood space.
A continuous map between two M-fuzzifying neighborhood spaces and is a mapping f : X ⟶ Y such that for all x ∈ X and B ∈ 2Y.
The category of M-fuzzifying neighborhood spaces and their continuous maps is denoted by MY-FNS.
In general topology, the fundamental importance of accumulation points and derived sets are well known. Let be a topological space and A ∈ 2X. Then x ∈ X is called an accumulation point of A provided that U∩ (A - {x}) ≠ ∅ for any , where is the set of all neighborhoods of x. The set of all accumulation points of A is called the derived set of A, denoted by . Meanwhile, we can obtain a mapping defined by . The following theorem reveals the properties of derived sets.
Theorem 2.6. ([12]) Let be a topological space. For each A ∈ 2X, denotes the derived set of A. Then
;
∀x ∈ X, ;
;
.
If a mapping d : 2X ⟶ 2X satisfying (D1)-(D4), then d is called a derived operator on X. The pair (X, d) is called a derived space. There exists a one-to-one correspondence between derived operators and topologies [12].
Theorem 2.7. ([12]) Let d : 2X ⟶ 2X be a derived operator on X. Then is a topology on X and , .
A mapping f : X ⟶ Y between two derived spaces (X, dX) and (Y, dY) is called continuous if f→ (dX (A)) ⊆ f→ (A) ∪ dY (f→ (A)) for all A ∈ 2X.
M-fuzzifying derived spaces
In this section, we will introduce the notions of M-fuzzifying derived sets and M-fuzzifying derived operators. Then we will give their characterizations.
Now, we shall generalize the concept of accumulation points to M-fuzzifying settings as follows.
Definition 3.1. Let be an M-fuzzifying topology. Define a mapping by ∀A ∈ 2X, ∀ x ∈ X,
is called the degree to which x is an accumulation point of A with respect to . The mapping is called the M-fuzzifying derived set of A with respect to .
Remark 3.2. If M = 2 and , then is a topology and . For all B ∈ 2X with x ∉ B, B ⊇ A - {x} implies . That is, implies A - {x} ⊈ B (i.e., (A - {x})∩ B′ ≠ ∅). It is exactly the definition of accumulation points in general topology.
Example 3.3. Let X = {x, y, z} and M = [0, 1]. Define
It is easy to check that satisfies the axioms of (MYT1)-(MYT3). Hence is a [0, 1]-fuzzifying topology. By Definition 3.1, we obtain
Before studying the properties of M-fuzzifying derived sets, we need the following lemma.
Lemma 3.4.If is an M-fuzzifying topology, then
Proof. Let LHS denote the left hand side of equality. Then is trivial. The key of proofs is that . In fact, we have
where By = {D ∣ y ∉ D ⊇ B - {y}}, ⋀y∉Bf (y) = B - {y} = B for all y ∉ B and for any .□
Theorem 3.5.Let be an M-fuzzifying topology. Then for any A ∈ 2X,
∀x ∈ X,
∀x ∈ X,
Proof. (1) and (2) are obvious.□
(3) By Definition 3.1, it is easily seen that is an order-preserving mapping. Then . We need to prove that By (MYT2) and (A ∪ B) - {x} = (A - {x}) ∪ (B - {x}) , we have
(4) By Lemma 3.4, we know
□
By Definition 3.1, we get a mapping defined by . The mapping has properties (1)-(4). If an arbitrary mapping d : 2X ⟶ MX has these properties, then d is called an M-fuzzifying derived operator. That is,
Definition 3.6. An M-fuzzifying derived operator on X is a mapping d : 2X ⟶ MX satisfying the following conditions:
∀x ∈ X, d (∅) (x) = ⊥;
∀x ∈ X, d ({x}) (x) =⊥;
d (A ∪ B) = d (A) ∨ d (B);
d (A) (x) = ⋀ x∉B⊇A-{x} ⋁ y∉Bd (B) (y).
The pair (X, d) is called an M-fuzzifying derived space.
A mapping f : X ⟶ Y between two M-fuzzifying derived spaces (X, dX) and (Y, dY) is called continuous if
for all x ∈ X and for any A ∈ 2X.
It is not difficult to check that M-fuzzifying derived spaces and their continuous mappings form a category, denoted by MY-FDS.
Theorem 3.7.If a mapping d : 2X ⟶ MX satisfies (MYD1)-(MYD3), thenfor any A ∈ 2X and for all x ∈ X.
Proof.d (A) (x) = d ((A - {x}) ∪ {x}) (x) = d (A - {x}) (x) ∨ d ({x}) (x) = d (A - {x}) (x).□
The following theorems give equivalent characterizations of (MYD4).
Theorem 3.8.M-fuzzifying derived operators Let d : 2X ⟶ MX be a mapping satisfying (MYD1)-(MYD3). Then (MYD4) is equivalent to the following condition: (MYD4*)
Proof. Sufficiency. Let RHS denote the right hand side of (MYD4). It follows from (MYD3) that d is an order-preserving map. On one hand, for any x ∉ B ⊇ A - {x}, we know d (A) (x) = d (A - {x}) (x) ≤ d (B) (x) ≤ ⋁ y∉Bd (B) (y). Then d (A) (x) ≤ RHS. On the other hand, take any a ∈ J (M) with anleqd (A) (x). There exists some b ∈ β* (a) such that bnleqd (A) (x). By Theorem 3.7, we have d (A - {x}) (x) = d (A) (x) ngeqb. This shows x ∉ d (A - {x}) [b]. Then x ∉ (A - {x}) ∪ d (A - {x}) [b]. Let B = (A - {x}) ∪ d (A - {x}) [b]. Then x ∉ B ⊇ A - {x}. By (MYD4*), we get y ∉ d (d (A - {x}) [b]) [b] for all y ∉ B. Since b ∈ J (M), we have d (B) (y) = d (A - {x}) (y) ∨ d (d (A - {x}) [b]) (y) ngeqb. Hence ⋁y∉Bd (B) (y) ngeqa. Therefore anleqRHS. By the arbitrariness of a, we obtain RHS ≤ d (A) (x).
Necessity. For each a ∈ J (M), take any x ∉ A ∪ d (A) [a], we have x ∉ A and x ∉ d (A) [a]. Then d (A) (x) ngeqa. By (MYD4), there exists some B such that x ∉ B ⊇ A - {x} and ⋁y∉Bd (B) (y) ngeqa. This implies d (B) (y) ngeqa for all y ∉ B. So B ⊇ d (B) [a]. Note that x ∉ A. Then A - {x} = A. Under these facts, we have x ∉ B ⊇ d (B) [a] ⊇ d (A - {x}) [a] = d (A) [a] ⊇ d (A) [a] - {x}. By (MYD4), we have d (d (A) [a]) (x) ngeqa, i.e., x ∉ d (d (A) [a]) [a]. Therefore d (d (A) [a]) [a] ⊆ A ∪ d (A) [a].□
Theorem 3.9.M-fuzzifying derived operators Let d : 2X ⟶ MX be a mapping satisfying (MYD1)-(MYD3). If α (a ∨ b) = α (a) ∩ α (b) for each a, b ∈ M, then (MYD4) is also equivalent to the following condition: (MYD4**)
Proof. Sufficiency. Let RHS denote the right hand side of (MYD4). d (A) (x) ≤ RHS is obvious. We only need to prove RHS ≤ d (A) (x). Take any a ∈ α (⊥) with a ∈ α (d (A) (x)). There exists some b ∈ β (a) such that b ∈ α (d (A) (x)). By Theorem 3.7, we have b ∈ α (d (A - {x}) (x)), i.e., x ∉ d (A - {x}) [b]. Let B = (A - {x}) ∪ d (A - {x}) [b]. Then x ∉ B ⊇ A - {x}. By (MYD4**), we get y ∉ d (d (A - {x}) [b]) [b] for all y ∉ B. It follows that b ∈ α (d (A - {x}) (y)) ∩ α (d (d (A - {x}) [b]) (y)) = α (d (A - {x}) (y) ∨ d (d (A - {x}) [b]) (y)) = α (d (B) (y)) for all y ∉ B. So a ∈ α (⋁ y∉Bd (B) (y)). This shows a ∈ ⋃ x∉B⊇A-{x}α (⋁ y∉Bd (B) (y)) = α (RHS). By the arbitrariness of a, we obtain RHS ≤ d (A) (x).
Necessity. For each a ∈ α (⊥), take any x ∉ A ∪ d (A) [a], we have x ∉ A and x ∉ d (A) [a]. Then a ∈ α (d (A) (x)) = ⋃ x∉B⊇A-{x}α (⋁ y∈Bd (B) (y)), which means there exists some B such that x ∉ B ⊇ A - {x} and a ∈ α (⋁ y∉Bd (B) (y)). This implies a ∈ α (d (B) (y)) for all y ∉ B. So B ⊇ d (B) [a]. Hence x ∉ B ⊇ d (B) [a] ⊇ d (A - {x}) [a] = d (A) [a] ⊇ d (A) [a] - {x}. By (MYD4), we get a ∈ α (d (d (A) [a]) (x)), i.e., x ∉ d (d (A) [a]) [a]. Therefore d (d (A) [a]) [a] ⊆ A ∪ d (A) [a].□
Given an M-fuzzifying derived operators d : 2X ⟶ MX, we define two mappings d[a] : 2X ⟶ 2X (a ∈ J (M)) and d[a] : 2X ⟶ 2X (a ∈ α (⊥)) as follows:
for each A ∈ 2X, respectively.
Theorem 3.10.If d : 2X ⟶ MX is an M-fuzzifying derived operator, then for each A ∈ 2X,
d[a] (A) ≤ d[b] (A) for any a, b ∈ J (M) with b ∈ β* (a) and d[a] (A) = ⋂ b∈β*(a)d[b] (A).
d[b] (A) ≤ d[a] (A) for any a, b ∈ α (⊥ M) with b ∈ α (a) and d[a] (A) = ⋃ b∈α(a)d[b] (A).
Proof. By Theorem 2.2, we know that d (A) [a] = ⋂ b∈β*(a)d (A) [b] and d (A) [a] = ⋃ b∈α(a)d (A) [b]. Since d[a] (A) = d (A) [a] and d[a] (A) = d (A) [a], (1) and (2) are true trivially.
The following theorem shows the relations among d, d[a] and d[a].
Theorem 3.11.Let d : 2X ⟶ MX be a mapping. Then the following statements are equivalent.
d is an M-fuzzifying derived operator on X.
For each a ∈ J (M), d[a] is a crisp derived operator on X.
If α (a ∨ b) = α (a) ∩ α (b) for any a, b ∈ M, then for each a ∈ α (⊥), d[a] is a crisp derived operator on X.
Proof. We only prove (1)⇔(2). (1)⇔(3) is similar to (1)⇔(2) and omitted here.
(1)⇒(2) For each a ∈ J (M), we need to check that d[a] satisfies (D1)-(D4).
Since d (∅) (x) = ⊥ and d ({x}) (x) =⊥, we know d[a] (∅) = ∅ and x ∉ d[a] ({x}). So (D1) and (D2) hold. By the definition of co-prime element, we have a ≤ d (A ∪ B) (x) = d (A) (x) ∨ d (B) (x) if and only if a ≤ d (A) (x) or a ≤ d (B) (x). Then (D3) holds. By Theorem 3.8, (D4) holds.
(2)⇒(1) Define d : 2X ⟶ MX by
We need to check d satisfies (MYD1), (MYD2), (MYD3) and (MYD4). (MYD1) ∀x ∈ X, d (∅) (x) = ⋁ ∅ = ⊥.
(MYD2) ∀x ∈ X, d ({x}) (x) =⋁ ∅ = ⊥.
(MYD3) By the definition of d, we easily know that d (A) ≤ d (B) whenever A ⊆ B. Then d (A) ∨ d (B) ≤ d (A ∪ B). It suffices to prove d (A ∪ B) ≤ d (A) ∨ d (B). Suppose that d (A ∨ B) (x) = ⋁ {a ∈ J (M) ∣ x ∈ d[a] (A ∪ B)}. Take any a ∈ J (M) with x ∈ d[a] (A ∪ B). Then x ∈ d[a] (A) or x ∈ d[a] (B). So a ≤ d (A) (x) or a ≤ d (B) (x), which implies a ≤ d (A) (x) ∨ d (B) (x). Hence d (A ∪ B) ≤ d (A) ∨ d (B).
(MYD4) Since d satisfies (MYD1)-(MYD3), it follows from Theorem 3.8 that (MYD4) holds.□
Now we consider that a family of crisp derived operators forms an M-fuzzifying derived operator.
Theorem 3.12.Let d (a) :2X ⟶ 2X ∣ a ∈ J (M)} be a family of crisp derived operators on X satisfying d (a) (A) = ⋂ b∈β*(a)d (b) (A) for each a ∈ J (M) and for any A ∈ 2X. Then there exists an M-fuzzifying derived operator d : 2X ⟶ MX such that ∀A ∈ 2X, ∀x ∈ X,and d[a] (A) = d (a) (A) for any A ∈ 2X
.
Proof. By Theorem 3.11, in order to prove d is an M-fuzzifying derived operator, it suffices to prove that d[a] (A) = d (a) (A) for any A ∈ 2X.
On one hand, suppose that x ∈ d (a) (A). Then d (A) ≥ a, which means x ∈ d (A) [a] = d[a] (A). Hence d (a) (A) ⊆ d[a] (A). On the other hand, assume that x ∈ d[a] (A), i.e., d (A) (x) ≥ a. Then β* (d (A) (x)) ⊇ β* (a). Since d (a) (A) = ⋂ b∈β*(a)d (b) (A) and β* is order-preserving, it is easily seen that d (a2) (A) ⊆ d (a1) (A) whenever a1 ≤ a2. For any b ∈ β* (a), we have b ∈ β* (d (A) (x)) = ⋃ c∈J(M)β (c ∧ d (c) (A) (x)). There exists some c ∈ J (M) such that c ∧ d (c) (A) (x) ≥ b. So c ≥ b and x ∈ d (c) (A) ⊆ d (b) (A). Hence x ∈ ⋂ b∈β*(a)d (b) (A) = d (a) (A). Therefore d[a] (A) ⊆ d (a) (A).□
Theorem 3.13.Let {d (a) :2X ⟶ 2X ∣ a ∈ α (⊥)} be a family of crisp derived operators on X satisfying d (a) (A) = ⋃ b∈α(a)d (b) (A) for each a ∈ α (⊥) and for any A ∈ 2X. Then there exists an M-fuzzifying derived operator d : 2X ⟶ MX such that ∀A ∈ 2X, ∀x ∈ X,and d[a] (A) = d (a) (A) for any A ∈ 2X.
Proof. The proof is analogous to that of Theorem 3.12 and omitted here.□
Categories isomorphic to MY-FDS
In this section,we will show that the category MY-FTop, the category MY-FCS and the category MY-FNS are all isomorphic to the category MY-FDS. Besides, the M-fuzzifying derived operators induced by M-fuzzifying neighborhood systems in this section are equivalent to those in the sense of Ying.
Category MY-FTop isomorphic to MY-FDS
By Definition 3.1 and Theorem 3.5, we have known that an M-fuzzifying topology can induce an M-fuzzifying derived operator. Conversely, an M-fuzzifying derived operator also can induce an M-fuzzifying topology as follows.
Theorem 4.1.Let (X, d) be an M-fuzzifying derived space. Define by ∀A ∈ 2X,Thenis an M-fuzzifying topology on X.
Proof. We need to check (MYT1)-(MYT3).
(MYT1) is trivial.
(MYT2) For all A, B ∈ 2X, we have
(MYT3) By (MYD3), it is not difficult to see that d (·) is order-preserving. For all {Aj ∣ j ∈ J} ⊆2X, we have
□
In what follows, the relationships between the continuous mappings of M-fuzzifying derived spaces and the continuous mappings of M-fuzzifying topological spaces are discussed.
Theorem 4.2.Let (X, dX) and (Y, dY) be M-fuzzifying derived spaces. If f : (X, dX) ⟶ (Y, dY) is continuous, then is continuous.
Proof. We need to show for all B ∈ 2Y. By Theorem 4.1, it suffices to prove ⋁x∉f←(B′)dX (f← (B′)) (x) ≤ ⋁ y∉B′dY (B′) (y). Let a ∈ M with a ≺ ⋁ x∉f←(B′)dX (f← (B′)) (x). Then there exists some x ∉ f← (B′) such that a ≤ dX (f← (B′)) (x). Note that x ∉ f← (B′) if and only if f (x) ∉ B′ and f : (X, dX) ⟶ (Y, dY) is continuous. It follows that
This implies a ≤ ⋁ y∉B′dY (B′) (y). By the arbitrariness of a, we get ⋁x∉f←(B′)dX (f← (B′)) (x) ≤ ⋁ y∉B′dY (B′) (y). Therefore is continuous.□
Theorem 4.3.Let and be M-fuzzifying topological spaces. If is continuous, then is continuous.
Proof. We only need to check that whenever f (x) ∉ f→ (A). Note that f (x) ∉ f→ (A) implies x ∉ A. It suffices to prove that whenever f (x) ∉ f→ (A). Let a ∈ M with . Then there exists some D such that f (x) ∉ D ⊇ f→ (A) and . This implies x ∉ f← (D) ⊇ f← (f→ (A)) ⊇ A. By the continuity of , we have
This shows . From the arbitrariness of a, we obtain . Therefore is continuous.□
The following theorem shows that there exists a one-to-one correspondence between M-fuzzifying derived operators and M-fuzzifying topologies.
Theorem 4.4.If is an M-fuzzifying topology on X and d : 2X ⟶ MX is an M-fuzzifying derived operator on X, then and .
Proof. Firstly, by Lemma 3.4, follows from
Secondly, by (MFD4), follows from
□
By Definition 3.1, Theorem 3.5 and Theorem 4.1–4.3, we obtain a functor mathdsF: MY - FTop ⟶ MY - FDS such that
and a functor mathdsG: MY-FDS ⟶ MY-FTop such that
By Theorem 4.4, we get the following theorem.
Theorem 4.5.The category MY-FTop is isomorphic to the category MY-FDS.
Category MY-FCS isomorphic to MY-FDS
In [15], F.G. Shi proved that there is a one-to-one correspondence between M-fuzzifying closure spaces and M-fuzzifying topologies. That is,
Theorem 4.6. ([15]) Let be an M-fuzzifying topological space and let (X, cl) be an M-fuzzifying closure space.
(1) Define a mapping by ∀A ∈ 2X, ∀ x ∈ X,
Then is an M-fuzzifying closure operator on X.
(2) Define a mapping by ∀A ∈ 2X,
Then is an M-fuzzifying topology on X.
(3) and .
The following lemma is trivial.
Lemma 4.7.Let d : 2X ⟶ MX be an M-fuzzifying derived operator. Then ∀x ∉ A,
In [15], F.G. Shi also proved that the category MY-FTop is isomorphic to the category MY-FCS. By Theorem 4.5, we know that the category MY-FTop is isomorphic to the category MY-FDS. Therefore, we get the following theorem.
Theorem 4.8.The category MY-FCS is isomorphic to the category MY-FDS.
There is a functor mathdsF: MY-FCS ⟶ MY-FDS such that
where dcl : 2X ⟶ MX defined by ∀A ∈ 2X, ∀ x ∈ X,
and a functor mathdsG: MY-FDS ⟶ MY-FCS such that
where cld : 2X ⟶ MX defined by ∀A ∈ 2X, ∀ x ∈ X,
Remark 4.9. (1) By Definition 3.1, Theorem 4.1, Theorem 4.6, Lemma 4.7 and (MYC4), (MYD4) we have
i) ∀x ∈ X,
ii) ∀x ∉ A,
(2) Let M = 2 (namely, is a topology). If dcl (A) (x) =⊤, then x ∈ dcl (A) if and only if x ∈ cl (A - {x}). If cld (A) (x) =⊤, then cld (A) = A ∪ d (A). These are exactly the conclusions of general topological spaces.
Category MY-FNS isomorphic to MY-FDS
In [20], M.S. Ying showed that there is a one-to-one correspondence between fuzzifying neighborhood systems and fuzzifying topologies from the view of multi-valued logic. Besides, he also gave the definition of fuzzifying derived sets by logical language. These results can easily be generalized to M-fuzzifying cases and be translated by analysis language in the following definition and theorem.
Definition 4.10. ([20]) Let be an M-fuzzifying neighborhood system on X. For each A ∈ 2X, the M-fuzzifying derived set of A is a mapping defined by ∀x ∈ X,
Theorem 4.11. ([20]) Let be an M-fuzzifying topological space and be an M-fuzzifying neighborhood system on X.
(1) Define a set of maps by ∀A ∈ 2X,
Then is an M-fuzzifying neighborhood system on X.
(2) Define a mapping by ∀A ∈ 2X,
Then is an M-fuzzifying topology on X.
(3) and .
Since we prove that the category MY-FTop is isomorphic to the category MY-FDS and F.G. Shi also show that the category MY-FTop is isomorphic to the category MY-FNS in [15]. Therefore, we obtain the following theorem.
Theorem 4.12.The category MY-FNS is isomorphic to the category MY-FDS.
There is a functor mathdsF: MY-FNS ⟶ MY-FDS such thatwheredefined by ∀A ∈ 2X, ∀ x ∈ X,and a functor mathdsG: MY-FDS ⟶ MY-FNS such thatwhere the setof mapsdefined by ∀A ∈ 2X,
Remark 4.13. (1) By Definition 3.1, Theorem 4.1, Theorem 4.11, Lemma 4.7 and (MYN4), (MYD4) we have
i) ∀x ∈ X,
ii) ∀x ∈ A, (i.e., ∀x ∉ A′)
(2) Let M = 2 (namely, is a topology). If , then if and only if . If and x ∈ A, then if and only if x ∉ d (A′). These conclusions can be obtained by the definition of accumulation points in general topology.
In what follows, we show that the M-fuzzifying derived operators induced by M-fuzzifying neighborhood systems in Theorem 4.12 are equivalent to those in Definition 4.10.
Theorem 4.14.Let be an M-fuzzifying neighborhood system on X. Then .
Proof. We need to check , i.e.,
for each A ∈ 2X and for all x ∈ X.
On one hand, it is clear that . On the other hand, take any a ∈ M with . There exists some B ∈ 2X such that B∩ (A - {x}) = ∅ and . This shows B ⊆ (A - {x}) ′. Since is order-preserving, it follows that . Hence . From the arbitrariness of a, we obtain .□
Footnotes
Acknowledgement
The authors would like to express their sincere thanks to the anonymous reviewers for their careful reading and constructive comments. This work is supported by Langfang municipal science and technology project (2017029040) and the National Natural Science Foundation of China (11371002) and Specialized Research Fund for the Doctoral Program of Higher Education (20131101110048).
References
1.
AnF.B. and FangJ.M., Fuzzifying topological derived operator axioms, Journal of Ocean University of Qingdao4 (2005), 583–586.
2.
BaiY.C., The N-derived operator in L-fuzzy topological spaces, Journal of Shanxi Normal University, (Natural Science Edition)18 (1990), 8–11.
3.
DwingerP., Characterizations of the complete homomorphic images of a completely distributive complete lattice I, Indag. Math. (Proc)85 (1982), 403–414.
4.
EngelkingR., General Topology, (1975).
5.
FangJ.M., Derived opeartor in L-fuzzy topological spaces, it The Journal of Fuzzy Mathematics10 (2002), 735–746.
6.
GierzG., HofmannK.H. and KeimelK., A Compendium of Continuous Lattices Springer, Berlin (1980).
7.
HöhleU., Upper semicontinuous fuzzy sets and applications, J. Math. Anal. Appl.78 (1980), 659–673.
8.
KellyJ.L., General Topology, Springer, New York (1955).
9.
LuY. and LuoM., Fuzzy TopologyWorld Scienti_c Publishing, Singapore, (1997).
10.
PangB., Degrees of continuous mappings, open mappings, and closed mappings in L-fuzzifying topological spaces, Journal of Intelligent and Fuzzy Systems27 (2014), 805–816.
11.
PuP.M. and LiuY.M., Fuzzy topology. I. Neighborhood structure of a fuzzy point and moore-smith convergence, Journal of Mathematical Analysis and Applications76 (1980), 571–599.
12.
ShiF.G., The fuzzy derived induced by the derived operator of ordinary set and fuzzy topology induced by the fuzzy derived operator, Fuzzy Systems and Mathematics5 (1991), 32–37.
13.
ShiF.G., L-fuzzy derived opeartor and L-fuzzy topology, Journal of Yantai Teachers University (Natural Science Edition)10 (1994), 161–166.
14.
ShiF.G., Theory of L_-nested sets and L_-nested sets and its applications, Fuzzy Systems and Mathematics4 (1995), 65–72.
15.
ShiF.G., L-fuzzy interiors and L-fuzzy closures, Fuzzy Sets and Systems160 (2009), 1218–1232.
16.
ShiF.G. and PangB., Categories isomorphic to the category of L-fuzzy closure system spaces, Iranian Journal of Fuzzy Systems10 (2013), 127–146.
17.
ShiJ.B. and XuanL.X., Strong derived sets and strong derived operators in L-fuzzy topological spaces, Journal of Nanjing Normal University (Natural Science Edition)19 (1996), 7–12.
18.
WangG.J., Theory of L-Fuzzy Topological Spaces, Shanxi Normal University Press, Xi’an, 1988 (in Chinese).
19.
WangG.J., Theory of topological molecular lattices, Fuzzy Sets and Systems47 (1992), 351–376.
20.
YingM.S., A new approach for fuzzy topology (i), Fuzzy Sets and Systems39 (1991), 303–321.
21.
YueY. and GuM., Fuzzy partial (pseudo-)metric spaces, Journal of Intelligent and Fuzzy Systems27 (2014), 1153–1159.
22.
ZadehL.A., Fuzzy sets, Information and Control8 (1965), 338–353.