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On Fuzzy γI-Continuity and γI-Irresoluteness via K-Fuzzy γI-Open Sets

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11 March 2025

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12 March 2025

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Abstract
In this article, we explored and investigated a novel class of fuzzy sets, called k-fuzzy γI-open (k-FγI-open) sets in fuzzy ideal topological spaces (FITSs) based on Sostak՚s sense. The class of k-FγI-open sets is contained in the class of k-fuzzy strong β-I-open (k-FSβI-open) sets and contains all k-fuzzy pre-I-open (k-FPI-open) sets and k-fuzzy semi-I-open (k-FSI-open) sets. We also introduced and studied the interior and closure operators with respect to the classes of k-FγI-open sets and k-FγI-closed sets. However, we defined and discussed novel types of fuzzy I-separation axioms using k-FγI-closed sets, called k-FγI-regular spaces and k-FγI-normal spaces. Thereafter, we displayed and studied the notion of fuzzy γI-continuity (FγI-continuity) using k-FγI-open sets. Furthermore, we presented and characterized the notions of fuzzy weak γI-continuity (FWγI-continuity) and fuzzy almost γI-continuity (FAγI-continuity), which are weaker forms of FγI-continuity. Finally, we introduced and investigated some new fuzzy γI-mappings via k-FγI-open sets and k-FγI-closed sets, called FγI-open mappings, FγI-closed mappings, FγI-irresolute mappings, FγI-irresolute open mappings, and FγI-irresolute closed mappings.
Keywords: 
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1. Introduction

The concept of a fuzzy set of a nonempty set Z is a mapping ρ : Z → I (where I = [ 0 , 1 ] ). This concept was first defined in 1965 by Zadeh [1]. The integration between fuzzy sets and some uncertainty approaches such as rough sets and soft sets has been investigated in [2–4]. The concept of a fuzzy topology was presented in 1968 by Chang [5]. Several authors have successfully generalized the theory of general topology to the fuzzy setting with crisp methods. According to Šostak [6], the notion of a fuzzy topology being a crisp subclass of the class of fuzzy sets and fuzziness in the notion of openness of a fuzzy set have not been considered, which seems to be a drawback in the process of fuzzification of a topological space. Therefore, Šostak [6] defined a novel definition of a fuzzy topology as the concept of openness of fuzzy sets. It is an extension of a fuzzy topology defined by Chang [5]. Thereafter, many researchers (Ramadan [7], Chattopadhyay et. al. [8], El Gayyar et. al. [9], Höhle and Šostak [10], Ramadan et. al. [11], Kim et. al. [12], Abbas [13,14], Kim and Abbas [15], Aygun and Abbas [16,17], Li and Shi [18,19], Shi and Li [20], Fang and Guo [21], El-Dardery et. al. [22], Kalaivani and Roopkumar [23], Solovyov [24], Minana and Šostak [25]) have redefined the same notion and investigated fuzzy topological spaces ( FTS s ) being unaware of Šostak’s work.
The generalizations of fuzzy open sets plays an effective role in a fuzzy topology through their ability to improve on many results, or to open the door to explore and discuss several fuzzy topological notions such as fuzzy continuity [7,8], fuzzy connectedness [8], fuzzy compactness [8,9], fuzzy separation axioms [18], etc. Overall, the notions of k-fuzzy pre-open (k-FP-open) sets, k-fuzzy semi-open (k-FS-open) sets, k-fuzzy β -open (k-F β -open) sets, and k-fuzzy α -open (k-F α -open) sets were presented and investigated by the authors of [12,14] in FTS s based on Šostak’s sense [6]. Also, Kim et al. [12] defined and discussed some weaker forms of fuzzy continuity, called FS-continuity (resp. FP-continuity and F α -continuity) between FTS s based on Šostak’s sense. Abbas [14] explored and characterized the concepts of F β -continuous (resp. F β -irresolute) mappings between FTS s in the sense of Šostak. Also, Kim and Abbas [15] defined some new types of k-fuzzy compactness on FTS s in the sense of Šostak. Furthermore, the notions of k-fuzzy γ -open (k-F γ -open) sets and k-fuzzy γ -closed (k-F γ -closed) sets were defined and discussed by the authors of [26] on FTS s in the sense of Šostak [6].
A novel concept of fuzzy local function, called k-fuzzy local function was presented and investigated by Taha and Abbas [27] in an FITS ( Z , ζ , I ) based on Šostak’s sense [6]. Moreover, the concepts of fuzzy lower (resp. upper) weakly and almost I -continuous multifunctions were displayed and investigated by Taha and Abbas [27]. Also, Taha [28–30] introduced the notions of k-FS I -open sets, k-FP I -open sets, k-F α I -open sets, k-F β I -open sets, k-FS β I -open sets, k-F δ I -open sets, and k-GF I -closed sets in an FITS ( Z , ζ , I ) based on Šostak’s sense. Overall, Taha [29–31] presented the notions of fuzzy upper (resp. lower) generalized I -continuous (resp. pre- I -continuous, semi- I -continuous, α - I -continuous, δ - I -continuous, and strong β - I -continuous) multifunctions via fuzzy ideals [32].
The purpose of this study is as follows. Section 2 contains many basic results and notions that help in understanding the obtained results. In Section 3, we present and study a novel class of fuzzy sets, called k-F γ I -open sets in FITS s based on Šostak’s sense. This class is contained in the class of k-FS β I -open sets and contains all k-F α I -open sets, k-FP I -open sets, and k-FS I -open sets. We also define and discuss the closure and interior operators with respect to the classes of k-F γ I -open sets and k-F γ I -closed sets. Furthermore, we introduce new types of fuzzy I -separation axioms using k-F γ I -closed sets, called k-F γ I -regular spaces and k-F γ I -normal spaces, and study some properties of them. In Section 4, we present and investigate the concept of F γ I -continuous mappings using k-F γ I -open sets. Also, we display and characterize the concepts of FA γ I -continuous and FW γ I -continuous mappings, which are weaker forms of F γ I -continuous mappings. In Section 5, we explore and discuss some new F γ I -mappings using k-F γ I -open sets and k-F γ I -closed sets, called F γ I -open mappings, F γ I -closed mappings, F γ I -irresolute mappings, F γ I -irresolute open mappings, and F γ I -irresolute closed mappings. In the last section, we close this work with proposed future articles and conclusions.

2. Preliminaries

In this study, non-empty sets will be denoted by Z, Y, X, etc. On Z, I Z is the class of all fuzzy sets. For any fuzzy set ω ∈ I Z , ω c ( z ) = 1 − ω ( z ) , for each z ∈ Z . Also, for s ∈ I , s ̲ ( z ) = s , for each z ∈ Z .
A fuzzy point z s on Z is a fuzzy set, is defined as follows: z s ( v ) = s if v = z , and z s ( v ) = 0 for any v ∈ Z − { z } . Moreover, we say that z s belongs to ω ∈ I Z ( z s ∈ ω ), if s ≤ ω ( z ) . On Z, P s ( Z ) is the class of all fuzzy points.
On Z, a fuzzy set ν ∈ I Z is a quasi-coincident with ρ ∈ I Z ( ν Q ρ ), if there is z ∈ Z , with ν ( z ) + ρ ( z ) > 1 . Otherwise, ν is not a quasi-coincident with ρ ( ν Q ¯ ρ ).
The difference between ν , ρ ∈ I Z [27] is defined as follows:
ν ∧ ¯ ρ = 0 ̲ , if ν ≤ ρ , ν ∧ ρ c , otherwise .
Lemma 2.1. 
[ 33 ] Let ω , ρ ∈ I Z . Thus,
(1) ω Q ρ iff there is z s ∈ ω such that z s Q ρ ,
(2) if ω Q ρ , then ω ∧ ρ ≠ 0 ̲ ,
(3) ω Q ¯ ρ iff ω ≤ ρ c ,
(4) ω ≤ ρ iff z s ∈ ω implies z s ∈ ρ iff z s Q ω implies z s Q ρ iff z s Q ¯ ρ implies z s Q ¯ ω ,
(5) z s Q ¯ ⋁ i ∈ Γ ω i iff there is i ∘ ∈ Γ such that z s Q ¯ ω i ∘ .
Definition 2.1. 
[ 6 , 7 ] A mapping ζ : I Z ⟶ I is called a fuzzy topology on Z if it satisfies the following conditions:
(1) ζ ( 1 ̲ ) = ζ ( 0 ̲ ) = 1 .
(2) ζ ( ω ∧ ρ ) ≥ ζ ( ω ) ∧ ζ ( ρ ) , for each ω , ρ ∈ I Z .
(3) ζ ( ⋁ i ∈ Γ ω i ) ≥ ⋀ i ∈ Γ ζ ( ω i ) , for each ω i ∈ I Z .
Thus, ( Z , ζ ) is called a fuzzy topological space ( FTS ) based on Šostak’s sense.
Definition 2.2. 
[ 7 , 12 ] A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ ) is called
(1) fuzzy continuous if ζ ( P − 1 ( ρ ) ) ≥ ℑ ( ρ ) , for every ρ ∈ I Y ;
(2) fuzzy open if ℑ ( P ( ω ) ) ≥ ζ ( ω ) , for every ω ∈ I Z ;
(3) fuzzy closed if ℑ ( ( P ( ω ) ) c ) ≥ ζ ( ω c ) , for every ω ∈ I Z .
Definition 2.3. 
[ 8 , 11 ] In an FTS ( Z , ζ ) , for each ω ∈ I Z and k ∈ I ∘ (where I ∘ = ( 0 , 1 ] ), we define fuzzy operators C ζ and I ζ : I Z × I ∘ → I Z as follows:
C ζ ( ω , k ) = ⋀ { ν ∈ I Z : ω ≤ ν , ζ ( ν c ) ≥ k } .
I ζ ( ω , k ) = ⋁ { ν ∈ I Z : ν ≤ ω , ζ ( ν ) ≥ k } .
Definition 2.4. 
[ 12 , 14 , 26 ] Let ( Z , ζ ) be an FTS and k ∈ I ∘ . A fuzzy set ω ∈ I Z is called
(1) k-F-open if ω = I ζ ( ω , k ) ;
(2) k-FP-open if ω ≤ I ζ ( C ζ ( ω , k ) , k ) ;
(3) k-FS-open if ω ≤ C ζ ( I ζ ( ω , k ) , k ) ;
(4) k-FR-open if ω = I ζ ( C ζ ( ω , k ) , k ) ;
(5) k-F α -open if ω ≤ I ζ ( C ζ ( I ζ ( ω , k ) , k ) , k ) ;
(6) k-F β -open if ω ≤ C ζ ( I ζ ( C ζ ( ω , k ) , k ) , k ) ;
(7) k-F γ -open if ω ≤ C ζ ( I ζ ( ω , k ) , k ) ∨ I ζ ( C ζ ( ω , k ) , k ) .
Remark 2.1. 
[ 12 , 14 , 26 ] From the previous definitions, we have the following diagram.
k − FP − open set
↗ ↘
k − F − open set ⟶ k − F α − open set ⟶ k − F γ − open set ⟶ k − F β − open set
↘ ↗
k − FS − open set
Definition 2.5. 
[ 12 , 14 , 26 ] A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ ) is called FS-continuous (resp. FP-continuous, F α -continuous, F β -continuous, and F γ -continuous) if P − 1 ( ω ) is an k-FS-open (resp. k-FP-open, k-F α -open, k-F β -open, and k-F γ -open) set, for every ω ∈ I Y with ℑ ( ω ) ≥ k and k ∈ I ∘ .
Definition 2.6. 
[ 26 ] In an FTS ( Z , ζ ) , for each ω ∈ I Z and k ∈ I ∘ , we define fuzzy operators γ C ζ and γ I ζ : I Z × I ∘ → I Z as follows:
γ C ζ ( ω , k ) = ⋀ { ν ∈ I Z : ω ≤ ν , ν is k - F γ - closed } .
γ I ζ ( ω , k ) = ⋁ { ν ∈ I Z : ν ≤ ω , ν is k - F γ - open } .
Definition 2.7. 
[ 32 ] A fuzzy ideal I on Z, is a map I : I Z ⟶ I that satisfies the following:
(1) ∀ ω , ν ∈ I Z and ω ≤ ν ⇒ I ( ν ) ≤ I ( ω ) .
(2) ∀ ω , ν ∈ I Z ⇒ I ( ω ∨ ν ) ≥ I ( ω ) ∧ I ( ν ) .
Moreover, I 0 is the simplest fuzzy ideal on Z, and is defined as follows:
I 0 ( ν ) = 1 , if ν = 0 ̲ , 0 , otherwise .
Definition 2.8. 
[ 27 ] Let ( Z , ζ , I ) be an FITS , k ∈ I ∘ , and ω ∈ I Z . Then the k-fuzzy local function ω k * of ω is defined as follows:
ω k * = ⋀ { ρ ∈ I Z : I ( ω ∧ ¯ ρ ) ≥ k , ζ ( ρ c ) ≥ k } .
Remark 2.2. 
[ 27 ] If we take I = I 0 , for each ω ∈ I Z we have:
ω k * = ⋀ { ρ ∈ I Z : ω ≤ ρ , ζ ( ρ c ) ≥ k } = C ζ ( ω , k ) .
Definition 2.9. 
[ 27 ] Let ( Z , ζ , I ) be an FITS , k ∈ I ∘ , and ω ∈ I Z . Then we define fuzzy operator C ζ * : I Z × I ∘ → I Z as follows:
C ζ * ( ω , k ) = ω ∨ ω k * .
Now if, I = I 0 then C ζ * ( ω , k ) = ω ∨ ω k * = ω ∨ C ζ ( ω , k ) = C ζ ( ω , k ) for each ω ∈ I Z .
Theorem 2.1. 
[ 27 ] Let ( Z , ζ , I ) be an FITS , k ∈ I ∘ , and ω , ρ ∈ I Z . The operator C ζ * : I Z × I ∘ → I Z satisfies the following properties:
(1) C ζ * ( 0 ̲ , k ) = 0 ̲ .
(2) ω ≤ C ζ * ( ω , k ) ≤ C ζ ( ω , k ) .
(3) If ω ≤ ρ , then C ζ * ( ω , k ) ≤ C ζ * ( ρ , k ) .
(4) C ζ * ( ω ∨ ρ , k ) = C ζ * ( ω , k ) ∨ C ζ * ( ρ , k ) .
(5) C ζ * ( ω ∧ ρ , k ) ≤ C ζ * ( ω , k ) ∧ C ζ * ( ρ , k ) .
(6) C ζ * ( C ζ * ( ω , k ) , k ) = C ζ * ( ω , k ) .
Definition 2.10. 
[ 28 , 30 ] Let ( Z , ζ , I ) be an FITS and k ∈ I ∘ . A fuzzy set ω ∈ I Z is called
(1) k-FS I -open if ω ≤ C ζ * ( I ζ ( ω , k ) , k ) ;
(2) k-FP I -open if ω ≤ I ζ ( C ζ * ( ω , k ) , k ) ;
(3) k-F α I -open if ω ≤ I ζ ( C ζ * ( I ζ ( ω , k ) , k ) , k ) ;
(4) k-F β I -open if ω ≤ C ζ ( I ζ ( C ζ * ( ω , k ) , k ) , k ) ;
(5) k-FS β I -open if ω ≤ C ζ * ( I ζ ( C ζ * ( ω , k ) , k ) , k ) ;
(6) k-FR I -open if ω = I ζ ( C ζ * ( ω , k ) , k ) .
Definition 2.11. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is called F α I -continuous (resp. FP I -continuous, FS I -continuous, and FS β I -continuous) if P − 1 ( ω ) is an k-F α I -open (resp. k-FP I -open, k-FS I -open, and k-FS β I -open) set, for each ω ∈ I Y with ℑ ( ω ) ≥ k and k ∈ I ∘ .
Some basic notations and results that we need in the sequel are found in [7-9,27-31].

3. On k -Fuzzy γ I -Open Sets

Definition 3.1. 
Let ( Z , ζ , I ) be an FITS and k ∈ I ∘ . A fuzzy set ρ ∈ I Z is called an k-F γ I -open set if ρ ≤ C ζ * ( I ζ ( ρ , k ) , k ) ∨ I ζ ( C ζ * ( ρ , k ) , k ) .
Remark 3.1. 
The complement of k-F γ I -open sets are k-F γ I -closed sets.
Lemma 3.1. 
Every k-F γ I -open set is k-F γ -open [26].
Proof. 
The proof follows from Definitions 2.4, 3.1, and Theorem 2.1(2). □
Remark 3.2. 
If we take I = I 0 , then k-F γ I -open set and k-F γ -open set [26] are equivalent.
Remark 3.3. 
The converse of Lemma 3.1 fails as Example 3.1 will show.
Example 3.1. 
Define ζ , I : I Z ⟶ I as follows:
ζ ( ρ ) = 1 , if ρ ∈ { 0 ̲ , 1 ̲ } , 1 2 , if ρ = 0.7 ̲ , 1 3 , if ρ = 0.3 ̲ , 0 , otherwise , I ( ν ) = 1 , if ν = 0 ̲ , 1 2 , if 0 ̲ < ν ≤ 0.6 ̲ , 0 , otherwise .
Thus, 0 . 6 ̲ is an 1 3 -F γ -open set, but it is not 1 3 -F γ I -open.
Proposition 3.1. 
In an FITS ( Z , ζ , I ) , for each ω ∈ I Z and k ∈ I ∘ . Then
(1) each k-FP I -open set [28] is k-F γ I -open;
(2) each k-F γ I -open set is k-FS β I -open [30];
(3) each k-FS I -open set [28] is k-F γ I -open.
Proof.
(1) If ω is an k-FP I -open set. Then
ω ≤ I ζ ( C ζ * ( ω , k ) , k )
≤ I ζ ( C ζ * ( ω , k ) , k ) ∨ I ζ ( ω , k )
≤ I ζ ( C ζ * ( ω , k ) , k ) ∨ C ζ * ( I ζ ( ω , k ) , k ) .
Thus, ω is k-F γ I -open.
(2) If ω is an k-F γ I -open set. Then
ω ≤ C ζ * ( I ζ ( ω , k ) , k ) ∨ I ζ ( C ζ * ( ω , k ) , k )
≤ C ζ * ( I ζ ( C ζ * ( ω , k ) , k ) , k ) ∨ I ζ ( C ζ * ( ω , k ) , k )
≤ C ζ * ( I ζ ( C ζ * ( ω , k ) , k ) , k ) .
Thus, ω is k-FS β I -open.
(3) If ω is an k-FS I -open set. Then
ω ≤ C ζ * ( I ζ ( ω , k ) , k )
≤ C ζ * ( I ζ ( ω , k ) , k ) ∨ I ζ ( ω , k )
≤ C ζ * ( I ζ ( ω , k ) , k ) ∨ I ζ ( C ζ * ( ω , k ) , k ) .
Thus, ω is k-F γ I -open. □
Remark 3.4. 
From the previous discussions and definitions, we have the following diagram.
k - FP I - open set
↗ ↓
k - F α I - open set ⟶ k - F γ I - open set ⟶ k - FS β I - open set
↘ ↑
k - FS I - open set
Remark 3.5. 
The converse of the above diagram fails as Examples 3.2, 3.3, and 3.4 will show.
Example 3.2. 
Let Z = { z 1 , z 2 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 4 , z 2 0 . 3 } , ρ = { z 1 0 . 5 , z 2 0 . 4 } , λ = { z 1 0 . 4 , z 2 0 . 5 } . Define ζ , I : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 0 ̲ , 1 ̲ } , 1 4 , if ν = ρ , 1 2 , if ν = ω , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.3 ̲ , 0 , otherwise .
Thus, λ is an 1 4 -F γ I -open set, but it is not 1 4 -FP I -open.
Example 3.3. 
Let Z = { z 1 , z 2 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 3 , z 2 0 . 2 } , ρ = { z 1 0 . 7 , z 2 0 . 8 } , λ = { z 1 0 . 5 , z 2 0 . 4 } . Define ζ , I : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 0 ̲ , 1 ̲ } , 1 3 , if ν = ω , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.5 ̲ , 0 , otherwise .
Thus, λ is an 1 3 -F γ I -open set, but it is neither 1 3 -FS I -open nor 1 3 -F α I -open.
Example 3.4. 
Let Z = { z 1 , z 2 } and define ω , λ ∈ I Z as follows: ω = { z 1 0 . 5 , z 2 0 . 4 } , λ = { z 1 0 . 4 , z 2 0 . 5 } . Define ζ , I : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 0 ̲ , 1 ̲ } , 1 2 , if ν = ω , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.4 ̲ , 0 , otherwise .
Thus, λ is an 1 3 -FS β I -open set, but it is not 1 3 -F γ I -open.
Corollary 3.1. 
In an FITS ( Z , ζ , I ) and k ∈ I ∘ . Then
(1) the union of k-F γ I -open sets is k-F γ I -open;
(2) the intersection of k-F γ I -closed sets is k-F γ I -closed.
Proof. 
This is easily proved by Definition 3.1 and Remark 3.1. □
Corollary .3.2. 
In an FITS ( Z , ζ , I ) , for each k-F γ I -open set ω ∈ I Z .
(1) If ω is an k-FR I -open set, then ω is k-FS I -open.
(2) If ω is an k-FR I -closed set, then ω is k-FP I -open.
(3) If I ζ ( ω , k ) = 0 ̲ , then ω is k-FP I -open.
(4) If C ζ * ( ω , k ) = 0 ̲ , then ω is k-FS I -open.
Proof. 
The proof follows by Definitions 2.10 and 3.1. □
Corollary 3.3. 
In an FITS ( Z , ζ , I ) , for each k-F γ I -closed set ω ∈ I Z .
(1) If ω is an k-FR I -open set, then ω is k-FP I -closed.
(2) If ω is an k-FR I -closed set, then ω is k-FS I -closed.
(3) If I ζ ( ω , k ) = 0 ̲ , then ω is k-FS I -closed.
(4) If C ζ * ( ω , k ) = 0 ̲ , then ω is k-FP I -closed.
Proof. 
The proof follows by Definition 2.10 and Remark 3.1. □
Definition 3.2. 
In an FITS ( Z , ζ , I ) , for each ω ∈ I Z and k ∈ I ∘ , we define a fuzzy γ - I -closure operator γ C ζ * : I Z × I ∘ ⟶ I Z as follows:
γ C ζ * ( ω , k ) = ⋀ { ρ ∈ I Z : ω ≤ ρ , ρ is k - F γ I - closed } .
Proposition 3.2. 
In an FITS ( Z , ζ , I ) , for each ω ∈ I Z and k ∈ I ∘ . A fuzzy set ω is k-F γ I -closed iff γ C ζ * ( ω , k ) = ω .
Proof. 
This is easily proved from Definition 3.2. □
Theorem 3.1. 
In an FITS ( Z , ζ , I ) , for each ω , ρ ∈ I Z and k ∈ I ∘ . A fuzzy γ - I -closure operator γ C ζ * : I Z × I ∘ ⟶ I Z satisfies the following properties.
(1) γ C ζ * ( 0 ̲ , k ) = 0 ̲ .
(2) ω ≤ γ C ζ * ( ω , k ) ≤ C ζ ( ω , k ) .
(3) γ C ζ * ( ω , k ) ≤ γ C ζ * ( ρ , k ) if ω ≤ ρ .
(4) γ C ζ * ( γ C ζ * ( ω , k ) , k ) = γ C ζ * ( ω , k ) .
(5) γ C ζ * ( ω ∨ ρ , k ) ≥ γ C ζ * ( ω , k ) ∨ γ C ζ * ( ρ , k ) .
Proof. (1), (2), and (3) are easily proved by Definition 3.2.
(4) From (2) and (3), γ C ζ * ( ω , k ) ≤ γ C ζ * ( γ C ζ * ( ω , k ) , k ) . Now, we show γ C ζ * ( ω , k ) ≥ γ C ζ * ( γ C ζ * ( ω , k ) , k ) . If γ C ζ * ( ω , k ) does not contain γ C ζ * ( γ C ζ * ( ω , k ) , k ) , there is z ∈ Z and s ∈ ( 0 , 1 ) with
γ C ζ * ( ω , k ) ( z ) < s < γ C ζ * ( γ C ζ * ( ω , k ) , k ) ( z ) . ( N )
Since γ C ζ * ( ω , k ) ( z ) < s , by Definition 3.2, there is μ ∈ I Z as an k-F γ I -closed set and ω ≤ μ with γ C ζ * ( ω , k ) ( z ) ≤ μ ( z ) < s . Since ω ≤ μ , then γ C ζ * ( ω , k ) ≤ μ . Again, by the definition of γ C ζ * , then γ C ζ * ( γ C ζ * ( ω , k ) , k ) ≤ μ . Hence, γ C ζ * ( γ C ζ * ( ω , k ) , k ) ( z ) ≤ μ ( z ) < s , which is a contradiction for ( N ) . Thus, γ C ζ * ( ω , k ) ≥ γ C ζ * ( γ C ζ * ( ω , k ) , k ) . Therefore, γ C ζ * ( γ C ζ * ( ω , k ) , k ) = γ C ζ * ( ω , k ) .
(5) Since ω ≤ ω ∨ ρ and ρ ≤ ω ∨ ρ , hence by (3), γ C ζ * ( ω , k ) ≤ γ C ζ * ( ω ∨ ρ , k ) and γ C ζ * ( ρ , k ) ≤ γ C ζ * ( ω ∨ ρ , k ) . Thus, γ C ζ * ( ω ∨ ρ , k ) ≥ γ C ζ * ( ω , k ) ∨ γ C ζ * ( ρ , k ) . □
Definition 3.3. 
In an FITS ( Z , ζ , I ) , for each ω ∈ I Z and k ∈ I ∘ , we define a fuzzy γ - I -interior operator γ I ζ * : I Z × I ∘ ⟶ I Z as follows: γ I ζ * ( ω , k ) = ⋁ { ρ ∈ I Z : ρ ≤ ω , ρ is r - F γ I - open } .
Proposition 3.3. 
Let ( Z , ζ , I ) be an FITS , ω ∈ I Z , and k ∈ I ∘ . Then
(1) γ C ζ * ( ω c , k ) = ( γ I ζ * ( ω , k ) ) c ;
(2) γ I ζ * ( ω c , k ) = ( γ C ζ * ( ω , k ) ) c .
Proof. (1) For each ω ∈ I Z , we have γ C ζ * ( ω c , k ) = ⋀ { ρ ∈ I Z : ω c ≤ ρ , ρ is k - F γ I - closed } = [ ⋁ { ρ c ∈ I Z : ρ c ≤ ω , ρ c is k - F γ I - open } ] c = ( γ I ζ * ( ω , k ) ) c .
(2) This is similar to that of (1). □
Proposition 3.4. 
In an FITS ( Z , ζ , I ) , for each ω ∈ I Z and k ∈ I ∘ . A fuzzy set ω is k-F γ I -open iff γ I ζ * ( ω , k ) = ω .
Proof. 
This is easily proved from Definition 3.3. □
Theorem 3.2. 
In an FITS ( Z , ζ , I ) , for each ω , ρ ∈ I Z and k ∈ I ∘ . A fuzzy γ - I -interior operator γ I ζ * : I Z × I ∘ ⟶ I Z satisfies the following properties.
(1) γ I ζ * ( 1 ̲ , k ) = 1 ̲ .
(2) I ζ ( ω , k ) ≤ γ I ζ * ( ω , k ) ≤ ω .
(3) γ I ζ * ( ω , k ) ≤ γ I ζ * ( ρ , k ) if ω ≤ ρ .
(4) γ I ζ * ( γ I ζ * ( ω , k ) , k ) = γ I ζ * ( ω , k ) .
(5) γ I ζ * ( ω , k ) ∧ γ I ζ * ( ρ , k ) ≥ γ I ζ * ( ω ∧ ρ , k ) .
Proof. 
The proof is similar to that of Theorem 3.1. □
Definition 3.4. 
Let z s ∈ P s ( Z ) , ω ∈ I Z , and k ∈ I ∘ . An FITS ( Z , ζ , I ) is said to be an k-F γ I -regular space if z s Q ¯ ω for each k-F γ I -closed set ω , there is μ i ∈ I Z with ζ ( μ i ) ≥ k for i = 1 , 2 , such that z s ∈ μ 1 , ω ≤ μ 2 , and μ 1 Q ¯ μ 2 .
Definition 3.5. 
Let ω , ρ ∈ I Z and k ∈ I ∘ . An FITS ( Z , ζ , I ) is said to be an k-F γ I -normal space if ω Q ¯ ρ for each k-F γ I -closed sets ω and ρ , there is μ i ∈ I Z with ζ ( μ i ) ≥ k for i = 1 , 2 , such that ω ≤ μ 1 , ρ ≤ μ 2 , and μ 1 Q ¯ μ 2 .
Theorem 3.3. 
Let ( Z , ζ , I ) be an FITS , z s ∈ P s ( Z ) , ω ∈ I Z , and k ∈ I ∘ . The following statements are equivalent.
(1) ( Z , ζ , I ) is an k-F γ I -regular space.
(2) If z s ∈ ω for each k-F γ I -open set ω , there is ρ ∈ I Z with ζ ( ρ ) ≥ k , and
z s ∈ ρ ≤ C ζ ( ρ , k ) ≤ ω .
(3) If z s Q ¯ ω for each k-F γ I -closed set ω , there is μ i ∈ I Z with ζ ( μ i ) ≥ k for i = 1 , 2 , such that z s ∈ μ 1 , ω ≤ μ 2 , and C ζ ( μ 1 , k ) Q ¯ C ζ ( μ 2 , k ) .
Proof. (1) ⇒ (2) Let z s ∈ ω for each k-F γ I -open set ω , then z s Q ¯ ω c . Since ( Z , ζ , I ) is k-F γ I -regular, then there is ρ , ν ∈ I Z with ζ ( ρ ) ≥ k and ζ ( ν ) ≥ k , such that z s ∈ ρ , ω c ≤ ν , and ρ Q ¯ ν . Thus, z s ∈ ρ ≤ ν c ≤ ω , so z s ∈ ρ ≤ C ζ ( ρ , k ) ≤ ω .
(2) ⇒ (3) Let z s Q ¯ ω for each k-F γ I -closed set ω , then z s ∈ ω c . By (2), there is ν ∈ I Z with ζ ( ν ) ≥ k and z s ∈ ν ≤ C ζ ( ν , k ) ≤ ω c . Since ζ ( ν ) ≥ k , then ν is an k-F γ I -open set and z s ∈ ν . Again, by (2), there is μ ∈ I Z such that ζ ( μ ) ≥ k , and z s ∈ μ ≤ C ζ ( μ , k ) ≤ ν ≤ C ζ ( ν , k ) ≤ ω c . Hence, ω ≤ ( C ζ ( ν , k ) ) c = I ζ ( ν c , k ) ≤ ν c . Set λ = I ζ ( ν c , k ) , and thus ζ ( λ ) ≥ k . Then, C ζ ( λ , k ) ≤ ν c ≤ ( C ζ ( μ , k ) ) c . Therefore, C ζ ( μ , k ) Q ¯ C ζ ( λ , k ) .
(3) ⇒ (1) This is easily proved by Definition 3.4. □
Theorem 3.4. 
Let ( Z , ζ , I ) be an FITS , ω , ρ ∈ I Z , and k ∈ I ∘ . The following statements are equivalent.
(1) ( Z , ζ , I ) is an k-F γ I -normal space.
(2) If ρ ≤ ω for each k-F γ I -closed set ρ and k-F γ I -open set ω , there is ν ∈ I Z with ζ ( ν ) ≥ k , and ρ ≤ ν ≤ C ζ ( ν , k ) ≤ ω .
(3) If ω Q ¯ ρ for each k-F γ I -closed sets ω and ρ , there is μ i ∈ I Z with ζ ( μ i ) ≥ k for i = 1 , 2 , such that ω ≤ μ 1 , ρ ≤ μ 2 , and C ζ ( μ 1 , k ) Q ¯ C ζ ( μ 2 , k ) .
Proof. 
The proof is similar to that of Theorem 3.3. □

4. On Fuzzy γ I -Continuity

Definition 4.1. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is called F γ I -continuous if P − 1 ( ω ) is an k-F γ I -open set, for any ω ∈ I Y with ℑ ( ω ) ≥ k and k ∈ I ∘ .
Lemma 4.1. 
Every F γ I -continuity is an F γ -continuity [26].
Proof. 
The proof follows from Definitions 2.5, 4.1, and Lemma 3.1. □
Remark 4.1. 
If we take I = I 0 , then F γ I -continuity and F γ -continuity [26] are equivalent.
Remark 4.2. 
The converse of Lemma 4.1 fails as Example 4.1 will show.
Example 4.1. 
Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ρ ) = 1 , if ρ ∈ { 0 ̲ , 1 ̲ } , 1 2 , if ρ = 0.7 ̲ , 1 3 , if ρ = 0.3 ̲ , 0 , otherwise , I ( ν ) = 1 , if ν = 0 ̲ , 1 2 , if 0 ̲ < ν ≤ 0.6 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 3 , if θ = 0.6 ̲ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is F γ -continuous, but it is not F γ I -continuous.
Remark 4.3. 
From the previous definitions, we have the following diagram.
FP I - continuity
↗ ↓
F α I - continuity ⟶ F γ I - continuity ⟶ FS β I - continuity
↘ ↑
FS I - continuity
Remark 4.4. 
The converse of the above diagram fails as Examples 4.2, 4.3, and 4.4 will show.
Example 4.2. 
Let Z = { z 1 , z 2 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 4 , z 2 0 . 3 } , ρ = { z 1 0 . 5 , z 2 0 . 4 } , λ = { z 1 0 . 4 , z 2 0 . 5 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( μ ) = 1 , if μ ∈ { 1 ̲ , 0 ̲ } , 1 4 , if μ = ρ , 1 2 , if μ = ω , 0 , otherwise , I ( ν ) = 1 , if ν = 0 ̲ , 1 2 , if 0 ̲ < ν < 0.3 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 4 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is F γ I -continuous, but it is not FP I -continuous.
Example 4.3. 
Let Z = { z 1 , z 2 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 3 , z 2 0 . 2 } , ρ = { z 1 0 . 7 , z 2 0 . 8 } , λ = { z 1 0 . 5 , z 2 0 . 4 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 3 , if ν = ω , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.5 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 3 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is F γ I -continuous, but it is neither FS I -continuous nor F α I -continuous.
Example 4.4. 
Let Z = { z 1 , z 2 } and define ω , λ ∈ I Z as follows: ω = { z 1 0 . 5 , z 2 0 . 4 } , λ = { z 1 0 . 4 , z 2 0 . 5 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 2 , if ν = ω , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.4 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 3 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is FS β I -continuous, but it is not F γ I -continuous.
Theorem 4.1. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is F γ I -continuous iff for any z s ∈ P s ( Z ) and any ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ ρ and k ∈ I ∘ .
Proof. (⇒) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , and then P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) . Since z s ∈ P − 1 ( ρ ) , then we obtain z s ∈ γ I ζ * ( P − 1 ( ρ ) , k ) = ω (say). Hence, ω ∈ I Z is k-F γ I -open containing z s with P ( ω ) ≤ ρ .
(⇐) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) . According to the assumption there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ ρ . Hence, z s ∈ ω ≤ P − 1 ( ρ ) and z s ∈ γ I ζ * ( P − 1 ( ρ ) , k ) . Thus, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) , so P − 1 ( ρ ) is an k-F γ I -open set. Then, P is F γ - I -continuous. □
Theorem 4.2. 
Let P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -continuous.
(2) P − 1 ( ρ ) is k-F γ I -closed, for every ρ ∈ I Y with ℑ ( ρ c ) ≥ k .
(3) P ( γ C ζ * ( ω , k ) ) ≤ C ℑ ( P ( ω ) , k ) .
(4) γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) .
(5) P − 1 ( I ℑ ( ρ , k ) ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) .
Proof. (1) ⇔ (2) The proof follows by P − 1 ( ρ c ) = ( P − 1 ( ρ ) ) c and Definition 4.1.
(2) ⇒ (3) Let ω ∈ I Z . By (2), we have P − 1 ( C ℑ ( P ( ω ) , k ) ) is k-F γ I -closed. Thus,
γ C ζ * ( ω , k ) ≤ γ C ζ * ( P − 1 ( P ( ω ) ) , k ) ≤ γ C ζ * ( P − 1 ( C ℑ ( P ( ω ) , k ) ) , k ) = P − 1 ( C ℑ ( P ( ω ) , k ) ) .
Therefore, P ( γ C ζ * ( ω , k ) ) ≤ C ℑ ( P ( ω ) , k ) .
(3) ⇒ (4) Let ρ ∈ I Y . By (3), P ( γ C ζ * ( P − 1 ( ρ ) , k ) ) ≤ C ℑ ( P ( P − 1 ( ρ ) ) , k ) ≤ C ℑ ( ρ , k ) . Thus, γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( P ( γ C ζ * ( P − 1 ( ρ ) , k ) ) ) ≤ P − 1 ( C ℑ ( ρ , k ) ) .
(4) ⇔ (5) The proof follows by P − 1 ( ρ c ) = ( P − 1 ( ρ ) ) c and Proposition 3.3.
(5) ⇒ (1) Let ρ ∈ I Y with ℑ ( ρ ) ≥ k . By (5), we obtain P − 1 ( ρ ) = P − 1 ( I ℑ ( ρ , k ) ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( ρ ) . Then, γ I ζ * ( P − 1 ( ρ ) , k ) = P − 1 ( ρ ) . Thus, P − 1 ( ρ ) is k-F γ I -open, so P is F γ I -continuous. □
Definition 4.2. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is called FA γ I -continuous if P − 1 ( ω ) ≤ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ω , k ) , k ) ) , k ) , for any ω ∈ I Y with ℑ ( ω ) ≥ k and k ∈ I ∘ .
Lemma 4.2. 
Every F γ I -continuity is an FA γ I -continuity.
Proof. 
The proof follows by Definitions 4.1 and 4.2. □
Remark 4.5. 
The converse of Lemma 4.2 fails as Example 4.5 will show.
Example 4.5. 
Let Z = { z 1 , z 2 , z 3 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 4 , z 2 0 . 2 , z 3 0 . 4 } , ρ = { z 1 0 . 5 , z 2 0 . 5 , z 3 0 . 4 } , λ = { z 1 0 . 3 , z 2 0 . 2 , z 3 0 . 6 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 0 ̲ , 1 ̲ } , 2 3 , if ν = ω , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ ≤ 0.6 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 2 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is FA γ I -continuous, but it is not F γ I -continuous.
Theorem 4.3. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is FA γ I -continuous iff for any z s ∈ P s ( Z ) and any ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ I ℑ ( C ℑ ( ρ , k ) , k ) and k ∈ I ∘ .
Proof. (⇒) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , and then
P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) .
Since z s ∈ P − 1 ( ρ ) , then z s ∈ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) = ω ( say ) . Therefore, ω ∈ I Z is k-F γ I -open containing z s with P ( ω ) ≤ I ℑ ( C ℑ ( ρ , k ) , k ) .
(⇐) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k such that z s ∈ P − 1 ( ρ ) . According to the assumption there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ I ℑ ( C ℑ ( ρ , k ) , k ) . Hence, z s ∈ ω ≤ P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) and
z s ∈ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) .
Thus, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) . Therefore, P is FA γ I -continuous. □
Theorem 4.4. 
Let P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) be a fuzzy mapping, ρ ∈ I Y , and k ∈ I ∘ . Then the following statements are equivalent:
(1) P is FA γ I -continuous.
(2) P − 1 ( ρ ) is k-F γ I -open, for every k-FR-open set ρ .
(3) P − 1 ( ρ ) is k-F γ I -closed, for every k-FR-closed set ρ .
(4) γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) , for every k-F γ -open set ρ .
(5) γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) , for every k-FS-open set ρ .
Proof. (1) ⇒ (2) Let z s ∈ P s ( Z ) and ρ ∈ I Y be an k-FR-open set with z s ∈ P − 1 ( ρ ) . Hence, by (1), there is ω ∈ I Z that is k-F γ I -open with z s ∈ ω and P ( ω ) ≤ I ℑ ( C ℑ ( ρ , k ) , k ) . Thus, ω ≤ P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) = P − 1 ( ρ ) and z s ∈ γ I ζ * ( P − 1 ( ρ ) , k ) . Therefore, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) , so P − 1 ( ρ ) is k-F γ I -open.
(2) ⇒ (3) If ρ ∈ I Y is k-FR-closed, then by (2), P − 1 ( ρ c ) = ( P − 1 ( ρ ) ) c is k-F γ I -open. Thus, P − 1 ( ρ ) is k-F γ I -closed.
(3) ⇒ (4) If ρ ∈ I Y is k-F γ -open and since C ℑ ( ρ , k ) is k-FR-closed, then by (3), P − 1 ( C ℑ ( ρ , k ) ) is k-F γ I -closed. Since P − 1 ( ρ ) ≤ P − 1 ( C ℑ ( ρ , k ) ) , hence
γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) .
(4) ⇒ (5) The proof follows from the fact that any k-FS-open set is k-F γ -open.
(5) ⇒ (3) If ρ ∈ I Y is k-FR-closed, and then ρ is k-FS-open. By (5),
γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) = P − 1 ( ρ ) .
Hence, P − 1 ( ρ ) is k-F γ I -closed.
(3) ⇒ (1) If z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k such that z s ∈ P − 1 ( ρ ) , and then z s ∈ P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) . Since [ I ℑ ( C ℑ ( ρ , k ) , k ) ] c is k-FR-closed, by (3), P − 1 ( [ I ℑ ( C ℑ ( ρ , k ) , k ) ] c ) is k-F γ I -closed. Hence, P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) is k-F γ I -open and z s ∈ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) . Thus, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ , k ) , k ) ) , k ) . Therefore, P is FA γ I -continuous. □
Definition 4.3. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is called FW γ I -continuous if P − 1 ( ω ) ≤ γ I ζ * ( P − 1 ( C ℑ ( ω , k ) ) , k ) , for any ω ∈ I Y with ℑ ( ω ) ≥ k and k ∈ I ∘ .
Lemma 4.3. 
Every F γ I -continuity is an FW γ I -continuity.
Proof. 
The proof follows by Definitions 4.1 and 4.3. □
Remark 4.6. 
The converse of Lemma 4.3 fails as Example 4.6 will show.
Example 4.6. 
Let Z = { z 1 , z 2 , z 3 } and define ω , ρ , λ ∈ I Z as follows: ω = { z 1 0 . 4 , z 2 0 . 2 , z 3 0 . 4 } , ρ = { z 1 0 . 5 , z 2 0 . 5 , z 3 0 . 4 } ,   λ = { z 1 0 . 3 , z 2 0 . 2 , z 3 0 . 6 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 3 , if ν = ω , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ ≤ 0.6 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 3 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is FW γ I -continuous, but it is not F γ I -continuous.
Theorem 4.5. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is FW γ I -continuous iff for any z s ∈ P s ( Z ) and any ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ C ℑ ( ρ , k ) and k ∈ I ∘ .
Proof. (⇒) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k containing P ( z s ) , and then
P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) .
Since z s ∈ P − 1 ( ρ ) , then z s ∈ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) = ω (say). Hence, ω ∈ I Z is k-F γ I -open containing z s with P ( ω ) ≤ C ℑ ( ρ , k ) .
(⇐) Let z s ∈ P s ( Z ) and ρ ∈ I Y with ℑ ( ρ ) ≥ k such that z s ∈ P − 1 ( ρ ) . According to the assumption there is ω ∈ I Z that is k-F γ I -open containing z s with P ( ω ) ≤ C ℑ ( ρ , k ) . Hence, z s ∈ ω ≤ P − 1 ( C ℑ ( ρ , k ) ) and z s ∈ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) . Thus, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) . Therefore, P is FW γ - I -continuous. □
Theorem 4.6. 
Let P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) be a fuzzy mapping, ρ ∈ I Y , and k ∈ I ∘ . Then the following statements are equivalent:
(1) P is FW γ I -continuous.
(2) P − 1 ( ρ ) ≥ γ C ζ * ( P − 1 ( I ℑ ( ρ , k ) ) , k ) , if ℑ ( ρ c ) ≥ k .
(3) γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) ≥ P − 1 ( I ℑ ( ρ , k ) ) .
(4) γ C ζ * ( P − 1 ( I ℑ ( ρ , k ) ) , k ) ≤ P − 1 ( C ℑ ( ρ , k ) ) .
Proof. (1) ⇔ (2) The proof follows by Proposition 3.3 and Definition 4.3.
(2) ⇒ (3) Let ρ ∈ I Y . Hence by (2),
γ C ζ * ( P − 1 ( I ℑ ( C ℑ ( ρ c , k ) , k ) ) , k ) ≤ P − 1 ( C ℑ ( ρ c , k ) ) .
Thus, P − 1 ( I ℑ ( ρ , k ) ) ≤ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) .
(3) ⇔ (4) The proof follows from Proposition 3.3.
(4) ⇒ (1) Let ρ ∈ I Y with ℑ ( ρ ) ≥ k . Hence by (4), γ C ζ * ( P − 1 ( I ℑ ( ρ c , k ) ) , k ) ≤ P − 1 ( C ℑ ( ρ c , k ) ) = P − 1 ( ρ c ) . Thus, P − 1 ( ρ ) ≤ γ I ζ * ( P − 1 ( C ℑ ( ρ , k ) ) , k ) , so P is FW γ I -continuous. □
Lemma 4.4. 
Every FA γ I -continuity is an FW γ I -continuity.
Proof. 
The proof follows by Definitions 4.2 and 4.3. □
Remark 4.7. 
The converse of Lemma 4.4 fails as Example 4.7 will show.
Example 4.7. 
Let Z = { z 1 , z 2 , z 3 } and define ω , λ , ρ ∈ I Z as follows: ω = { z 1 0 . 6 , z 2 0 . 2 , z 3 0 . 4 } , λ = { z 1 0 . 3 , z 2 0 . 2 , z 3 0 . 5 } , ρ = { z 1 0 . 3 , z 2 0 . 2 , z 3 0 . 4 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 4 , if ν = ω , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ ≤ 0.5 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 4 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is FW γ I -continuous, but it is not FA γ I -continuous.
Remark 4.8. 
From the previous discussions and definitions, we have the following diagram.
F γ I - continuity ⟶ FA γ I - continuity ⟶ FW γ I - continuity
Proposition 4.1. 
Let P : ( Z , ζ , I ) ⟶ ( X , η ) and Y : ( X , η ) ⟶ ( Y , ℑ ) be two fuzzy mappings. Then the composition Y ∘ P is FA γ I -continuous if P is F γ I -continuous and Y is fuzzy continuous.
Proof. 
The proof follows by the previous definitions. □

5. On Fuzzy γ I -Irresoluteness

Definition 5.1. 
A fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) is called F γ I -irresolute if P − 1 ( ω ) is an k-F γ I -open set, for any k-F γ -open set ω ∈ I Y and k ∈ I ∘ .
Lemma 5.1. 
Every F γ I -irresolute mapping is F γ I -continuous.
Proof. 
The proof follows from Definitions 4.1, 5.1, and Remark 2.1. □
Remark 5.1. 
The converse of Lemma 5.1 fails as Example 5.1 will show.
Example 5.1. 
Let Z = { z 1 , z 2 } and define λ , ρ ∈ I Z as follows: λ = { z 1 0 . 5 , z 2 0 . 5 } , ρ = { z 1 0 . 5 , z 2 0 . 4 } . Define ζ , I , ℑ : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 2 , if ν = ρ , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.5 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 3 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ , I ) ⟶ ( Z , ℑ ) is F γ I -continuous, but it is not F γ I -irresolute.
Theorem 5.1. 
Let P : ( Z , ζ , I ) ⟶ ( Y , ℑ ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -irresolute.
(2) P − 1 ( ρ ) is k-F γ I -closed, for every k-F γ -closed set ρ .
(3) P ( γ C ζ * ( ω , k ) ) ≤ γ C ℑ ( P ( ω ) , k ) .
(4) γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( γ C ℑ ( ρ , k ) ) .
(5) P − 1 ( γ I ℑ ( ρ , k ) ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) .
Proof. (1) ⇔ (2) The proof follows by P − 1 ( ρ c ) = ( P − 1 ( ρ ) ) c and Definition 5.1.
(2) ⇒ (3) Let ω ∈ I Z . By (2), we have P − 1 ( γ C ℑ ( P ( ω ) , k ) ) is k-F γ I -closed. Thus,
γ C ζ * ( ω , k ) ≤ γ C ζ * ( P − 1 ( P ( ω ) ) , k ) ≤ γ C ζ * ( P − 1 ( γ C ℑ ( P ( ω ) , k ) ) , k ) = P − 1 ( γ C ℑ ( P ( ω ) , k ) ) .
Therefore, P ( γ C ζ * ( ω , k ) ) ≤ γ C ℑ ( P ( ω ) , k ) .
(3) ⇒ (4) Let ρ ∈ I Y . By (3), P ( γ C ζ * ( P − 1 ( ρ ) , k ) ) ≤ γ C ℑ ( P ( P − 1 ( ρ ) ) , k ) ≤ γ C ℑ ( ρ , k ) . Thus, γ C ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( P ( γ C ζ * ( P − 1 ( ρ ) , k ) ) ) ≤ P − 1 ( γ C ℑ ( ρ , k ) ) .
(4) ⇔ (5) The proof follows by P − 1 ( ρ c ) = ( P − 1 ( ρ ) ) c and Proposition 3.3.
(5) ⇒ (1) Let ρ ∈ I Y be an k-F γ -open set. By (5),
P − 1 ( ρ ) = P − 1 ( γ I ℑ ( ρ , k ) ) ≤ γ I ζ * ( P − 1 ( ρ ) , k ) ≤ P − 1 ( ρ ) .
Thus, γ I ζ * ( P − 1 ( ρ ) , k ) = P − 1 ( ρ ) . Therefore, P − 1 ( ρ ) is k-F γ I -open, so P is F γ I -irresolute. □
Proposition 5.1. 
Let P : ( Z , ζ , I ) ⟶ ( X , η ) and Y : ( X , η ) ⟶ ( Y , ℑ ) be two fuzzy mappings. Then the composition Y ∘ P is F γ I -irresolute (resp. F γ I -continuous) if P is F γ I -irresolute and Y is F γ -irresolute (resp. fuzzy continuous).
Proof. 
The proof follows by the previous definitions. □
Definition 5.2. 
A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) is called F γ I -open if P ( ω ) is an k-F γ I -open set, for any ω ∈ I Z with ζ ( ω ) ≥ k and k ∈ I ∘ .
Definition 5.3. 
A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) is called F γ I -irresolute open if P ( ω ) is an k-F γ I -open set, for any k-F γ -open set ω ∈ I Z and k ∈ I ∘ .
Lemma 5.2. 
Each F γ I -irresolute open mapping is F γ I -open.
Proof. 
The proof follows from Definitions 5.2, 5.3, and Remark 2.1. □
Remark 5.2. 
The converse of Lemma 5.2 fails as Example 5.2 will show.
Example 5.2. 
Let Z = { z 1 , z 2 } and define ω , λ ∈ I Z as follows: ω = { z 1 0 . 5 , z 2 0 . 5 } , λ = { z 1 0 . 5 , z 2 0 . 4 } . Define ζ , ℑ , I : I Z ⟶ I as follows:
ζ ( ν ) = 1 , if ν ∈ { 1 ̲ , 0 ̲ } , 1 5 , if ν = ω , 0 , otherwise , I ( μ ) = 1 , if μ = 0 ̲ , 1 2 , if 0 ̲ < μ < 0.5 ̲ , 0 , otherwise ,
ℑ ( θ ) = 1 , if θ ∈ { 1 ̲ , 0 ̲ } , 1 5 , if θ = λ , 0 , otherwise .
Thus, the identity fuzzy mapping P : ( Z , ζ ) ⟶ ( Z , ℑ , I ) is F γ I -open, but it is not F γ I -irresolute open.
Theorem 5.2. 
Let P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -open.
(2) P ( I ζ ( ω , k ) ) ≤ γ I ℑ * ( P ( ω ) , k ) .
(3) I ζ ( P − 1 ( ρ ) , k ) ≤ P − 1 ( γ I ℑ * ( ρ , k ) ) .
(4) For every ρ and every ω with ζ ( ω c ) ≥ k and P − 1 ( ρ ) ≤ ω , there is μ ∈ I Y is k-F γ I -closed with ρ ≤ μ and P − 1 ( μ ) ≤ ω .
Proof. (1) ⇒ (2) Since P ( I ζ ( ω , k ) ) ≤ P ( ω ) , hence by (1), P ( I ζ ( ω , k ) ) is k-F γ I -open. Thus,
P ( I ζ ( ω , k ) ) ≤ γ I ℑ * ( P ( ω ) , k ) .
(2) ⇒ (3) Set ω = P − 1 ( ρ ) , and hence by (2), P ( I ζ ( P − 1 ( ρ ) , k ) ) ≤ γ I ℑ * ( P ( P − 1 ( ρ ) ) , k ) ≤ γ I ℑ * ( ρ , k ) . Thus, I ζ ( P − 1 ( ρ ) , k ) ≤ P − 1 ( γ I ℑ * ( ρ , k ) ) .
(3) ⇒ (4) Let ρ ∈ I Y and ω ∈ I Z with ζ ( ω c ) ≥ k such that P − 1 ( ρ ) ≤ ω . Since ω c ≤ P − 1 ( ρ c ) , ω c = I ζ ( ω c , k ) ≤ I ζ ( P − 1 ( ρ c ) , k ) . Hence by (3), ω c ≤ I ζ ( P − 1 ( ρ c ) , k ) ≤ P − 1 ( γ I ℑ * ( ρ c , k ) ) . Then, we have
ω ≥ ( P − 1 ( γ I ℑ * ( ρ c , k ) ) ) c = P − 1 ( γ C ℑ * ( ρ , k ) ) .
Thus, γ C ℑ * ( ρ , k ) ∈ I Y is k-F γ I -closed with ρ ≤ γ C ℑ * ( ρ , k ) and P − 1 ( γ C ℑ * ( ρ , k ) ) ≤ ω .
(4) ⇒ (1) Let ν ∈ I Z with ζ ( ν ) ≥ k . Set ρ = ( P ( ν ) ) c and ω = ν c , P − 1 ( ρ ) = P − 1 ( ( P ( ν ) ) c ) ≤ ω . Hence by (4), there is μ ∈ I Y is k-F γ I -closed with ρ ≤ μ and P − 1 ( μ ) ≤ ω = ν c . Thus, P ( ν ) ≤ P ( P − 1 ( μ c ) ) ≤ μ c . On the other hand, since ρ ≤ μ , P ( ν ) = ρ c ≥ μ c . Hence, P ( ν ) = μ c , so P ( ν ) is an k-F γ I -open set. Therefore, P is F γ I -open. □
Theorem 5.3. 
Let P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -irresolute open.
(2) P ( γ I ζ ( ω , k ) ) ≤ γ I ℑ * ( P ( ω ) , k ) .
(3) γ I ζ ( P − 1 ( ρ ) , k ) ≤ P − 1 ( γ I ℑ * ( ρ , k ) ) .
(4) For every ρ and every ω is an k-F γ -closed set with P − 1 ( ρ ) ≤ ω , there is μ ∈ I Y is k-F γ I -closed with ρ ≤ μ and P − 1 ( μ ) ≤ ω .
Proof. 
The proof is similar to that of Theorem 5.2. □
Definition 5.4. 
A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) is called F γ I -closed if P ( ω ) is an k-F γ I -closed set, for any ω ∈ I Z with ζ ( ω c ) ≥ k and k ∈ I ∘ .
Definition 5.5. 
A fuzzy mapping P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) is called F γ I -irresolute closed if P ( ω ) is an k-F γ I -closed set, for any k-F γ -closed set ω ∈ I Z and k ∈ I ∘ .
Lemma 5.3. 
Each F γ I -irresolute closed mapping is F γ I -closed.
Proof. 
The proof follows from Definitions 5.4 and 5.5. □
Theorem 5.4. 
Let P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -closed.
(2) γ C ℑ * ( P ( ω ) , k ) ≤ P ( C ζ ( ω , k ) ) .
(3) P − 1 ( γ C ℑ * ( ρ , k ) ) ≤ C ζ ( P − 1 ( ρ ) , k ) .
(4) For every ρ and every ω with ζ ( ω ) ≥ k and P − 1 ( ρ ) ≤ ω , there is μ ∈ I Y is k-F γ I -open with ρ ≤ μ and P − 1 ( μ ) ≤ ω .
Proof. 
The proof is similar to that of Theorem 5.2. □
Theorem 5.5. 
Let P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) be a fuzzy mapping and k ∈ I ∘ . Then the following statements are equivalent for every ω ∈ I Z and ρ ∈ I Y :
(1) P is F γ I -irresolute closed.
(2) γ C ℑ * ( P ( ω ) , k ) ≤ P ( γ C ζ ( ω , k ) ) .
(3) P − 1 ( γ C ℑ * ( ρ , k ) ) ≤ γ C ζ ( P − 1 ( ρ ) , k ) .
(4) For every ρ and every ω is an k-F γ -open set with P − 1 ( ρ ) ≤ ω , there is μ ∈ I Y is k-F γ I -open with ρ ≤ μ and P − 1 ( μ ) ≤ ω .
Proof. 
The proof is similar to that of Theorem 5.2. □
Proposition 5.2. 
Let P : ( Z , ζ ) ⟶ ( Y , ℑ , I ) be a bijective fuzzy mapping. Then P is F γ I -irresolute open iff P is F γ I -irresolute closed.
Proof. 
The proof follows from:
P − 1 ( γ C ℑ * ( ν , k ) ) ≤ γ C ζ ( P − 1 ( ν ) , k ) ⟺ P − 1 ( γ I ℑ * ( ν c , k ) ) ≤ γ I ζ ( P − 1 ( ν c ) , k ) .
□

6. Conclusions

In this work, a novel class of fuzzy sets, called k-F γ I -open sets, has been introduced in FITS s based on Šostak’s sense. Some characterizations of k-F γ I -open sets along with their mutual relationships have been investigated with the help of some examples. Moreover, the notions of F γ I -interior operators and F γ I -closure operators have been presented and discussed. Also, we defined and investigated new types of fuzzy I -separation axioms,called k-F γ I -regular spaces and k-F γ I -normal spaces using k-F γ I -closed sets. After that, the notion of F γ I -continuity has been explored and discussed. Additionally, the notions of FA γ I -continuous mappings and FW γ I -continuous mappings, which are weaker forms of F γ I -continuous mappings, have been defined and characterized. Finally, we defined and studied some new fuzzy γ I -mappings via k-F γ I -open sets and k-F γ I -closed sets, called F γ I -open mappings, F γ I -closed mappings, F γ I -irresolute mappings, F γ I -irresolute open mappings, and F γ I -irresolute closed mappings. In the next works, we intend to explore the following topics:
• Defining fuzzy upper and lower γ I -continuous multifunctions and k-fuzzy γ I -connected sets.
• Extending these notions given here in the frame of fuzzy soft topological (k-minimal) spaces as defined in [34–39].
• Finding a use for these notions given here to include double fuzzy topological spaces as defined in [40,41].

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