Research article · 2016 · Full text
International Journal of Statistics and Applied MathematicsStudy of two theorem on fuzzy fields
Volume 1(4) · Pages 15–17
Research areasFuzzy and Soft Set TheoryFixed Point Theorems AnalysisFuzzy Logic and Control Systems
Abstract
Author-writtenFuzzy fields, which was proposed by S. Nanda in 1990. Here we have studied the properties of fuzzy algebra. Finally, we have proposed a redefined version of fuzzy algebras over fuzzy fields and observe that our definition is more general than the definition of Nanda, because if A is a fuzzy algebra under Nanda’s definition, it will also be a fuzzy algebra under our definition but not conversely.
Summary
Source-checkedPlain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.
Why it matters
- Fuzzy sets and their algebraic properties are used in various applications, including mathematical programming, dynamic programming, and decision-making in fuzzy environments. View evidence ↗
- The concepts of fuzzy fields and fuzzy algebras were originally introduced by S. Nanda. View evidence ↗
The question
- The primary objective of this paper is to discuss and analyze the concept of the fuzzy field. View evidence ↗
What they did
- The study defines a fuzzy field as a fuzzy set F within a field X, characterized by a membership function μF that satisfies specific algebraic properties. View evidence ↗
- The paper incorporates a redefined version of fuzzy fields proposed by R. Biswas to address the identified shortcomings. View evidence ↗
What they found
- Under Nanda's definition, if the fuzzy set F is treated as an ordinary subset of X, it functions as a subfield of X. View evidence ↗
- Based on their analysis, the authors conclude that the existing definition of a fuzzy field requires modification. View evidence ↗
- The authors demonstrate that Theorem 1.1 is valid under the redefined framework. View evidence ↗
What it means
- The authors conclude that their redefined version of fuzzy algebras over fuzzy fields is more general than Nanda's, as all fuzzy algebras under Nanda's definition fit their own, but not vice versa. View evidence ↗
Visual summary
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Relationship between Nanda's and the Authors' Definitions
AI-generated conceptual illustration (Abstract geometric shapes representing mathematical sets). It explains the idea and does not show study data.
View source evidence ↗Introduction
Algebraic properties of fuzzy sets, fuzzy measures, probability measures of fuzzy events, fuzzy mathematical programming, fuzzy dynamic programming and decision making on fuzzy environment. Fuzzy groups were defined by Rosenfeld and subsequently the theory was enhanced by Anthony and Sherwood, Osmand and W Liu. Fuzzy rings and fuzzy ideals have been studied by Liu. The notion of fuzzy field and fuzzy algebra were introduced by Nanda.
In this paper our aim is to discuss the concept of fuzzy field. 1.1 Fuzzy Field: Let X be a field and F be a fuzzy set in X with membership function μF. then F will be called a fuzzy field, if the following properties are satisfied. (i) ( ) min{ ( ), ( )} F F F x y x y for all x, y ϵX (ii) ( ) ( ), F F x x for all x ϵ X (iii) ( ) min{ ( ), ( )} F F F xy x y for all x, y ϵX (iv) 1 ( ) ( ) F F x x for all 0 x X (v) (0) 1 F and (1) 1 F Let x, y be any two elements of X and F be a fuzzy set in X then we have ( ) { ( ) min{ ( ), ( )} min{ ( ), ( )} F F F F F F x y x y x y x y ( ) min{ ( ), ( )}..............(1) F F F x y x y And 1 1 ( ) min{ ( ), ( )} min{ ( ), ( )}, F F F F F xy x y x y using (iv) 1 ( ) min{ ( ), ( )}.............(2) F F F xy x y Now we assume that F is an ordinary subset of x. Then ( ) 1 F x ( ) 1 F y ,x y F Hence, equation (1) implies that ( ) min{1,1} 1 F x y i.e ( ) 1 F x y Maths 2016; 1(4): 15-17 Dr. PK Mishra Professor of Mathematics, Govt. College Pawai, Panna, Madhya Pradesh, India Sandhya Verma Research Scholar, M.G.C.G.V Chitrakoot Satna, Madhya Pradesh, India Dr.
AK Agrawal Associate Professor Mathematics Department of Physical Science, M.G.C.G.V Chitrakoot Satna, Madhya Pradesh, India Correspondence Dr. PK Mishra Professor of Mathematics, Govt. College Pawai, Panna, Madhya Pradesh, India Conversely, we assume that F is a fuzzy set in X and is such that ( ) min{ ( ), ( )}, F F F x y x y For all x, yϵ X………..….(i) And, 1 ( ) min{ ( ), ( )}, F F F xy x y for all x ϵX, But ( ) 1 F x y ( ) 1 F x y x y F Thus, we observe that for all x, yϵ F x-y ϵF Similarly, from equation (2), we will get 1 ( ) min{1,1} F xy =1 i.e. 1 ( ) 1 F xy But 1 ( )1 1 F xy Y≠0ϵX…….(ii) Then, we claim that F is a fuzzy field in X. On putting x=0 in (i), we get (0 ) min{ (0), ( )} F F F y y ( ) min{1, ( )}, F F y y ( ) ( ) F F y y for all yϵX. 1 1 ( ) 1 F xy xy F That is for all x, y ϵF xy-1ϵF In this way we conclude that the notion of fuzzy field has been taken in such a way that when F is taken to be an ordinary subset of X under the definition of Nanda F turns out to be a sub field of X. form the definition of fuzzy field, we have ( ) { ( )} ( ) F F F x x x x X Again on taking x=1 in (ii), we get 1 (1 ) min{ (1), ( )} F F F y y min{1, ( )} F y ( ) F y 1 ( ) ( ), F F y y For all y≠0ϵX i.e ( ) ( )..................( ) F F x x i But from condition (2) of the fuzzy field we have ( ) ( )..................( ) F F x x ii (i)& (ii) ( ) ( )..................( ) F F x x iii Further, we have 1 1 1 ( ) {( ) } ( ) F F F x x x i.e 1 ( ) ( )..................( ) F F x x iv On taking y =-y in (1), we get { ( )} min{ ( ), ( )} F F F x y x y min{ ( ), ( )}, F F x y Using (iii) { )} min{ ( ), ( )} F F F x y x y And on taking y-1 for Y in (ii), we get 1 1 1 { ( ) } min{ ( ), ( )} F F F x y x y min{ ( ), ( )}, F F x y Using (iv) ( ) min{ ( ), ( )} F F F xy x y Thus, we observe that the above theorem cannot give the
Result
, (0) 1 F And (1) 1 F And from the (ivth) condition of fuzzy field, we have 1 ( ) ( )..................( ) F F x x v From (iv) and (v), we get 1 ( ) ( ), F F x x ..............( ) x X vi Theorem 1.1:- If F is a fuzzy field on a field X, then 1. ( ) min{ ( ), ( )} , F F F x y x y forallx y X 2. Which are also the basic requirements for F to be a fuzzy field in X. So the definition of fuzzy field needs modification. Keeping these things in his mind, R.
Biswas redefined fuzzy fields the definition of fuzzy field proposed by Biswas is as follows: 1.2 Redefinition of Fuzzy Field Let X be a field and F be a fuzzy set in X with membership function μF. Then F be called a fuzzy field in X if and only if the following condition are satisfied: 1 ( ) min{ ( ), ( )} , , 0 F F F xy x y forall x X Y X Proof: - Suppose that X is a field and F is a fuzzy field on X. Hence, we have ( ) { ( )} min{ ( ), ( )} F F F F x y x y x y min{ ( ), ( )} F F x y ( ) min{ ( ), ( )} F F F x y x y Using condition (ii) 1. { )} min{ ( ), ( )} F F F x y x y for all x, y ϵX 2. ( ) ( ) F F x X for all x ϵX 3. ( ) min{ ( ), ( )} F F F xy x y for all x, yϵ X And, 1 1 ( ) min{ ( ), ( )} F F F xy x y min{ ( ), ( )} F F x y 1 ( ) min{ ( ), ( )} F F F xy x y Using (iv) 4. 1 ( ) ( ) F F x x x≠0ϵX Now we can see that the above theorem 1.1 holds good. Theorem 1.2.: If F is a fuzzy field on a field X and if ( ) 1 F x for at least one x in X, then a. (0) 1 F b. (1) 1 F Proof: - Let us suppose that X is field and F is a fuzzy field in X and is such that ( ) 1, F x For at least one x ϵX……………. (i) Hence, from the (i) condition for F to be a fuzzy field, we have { )} min{ ( ), ( )} F F F x x x x min{ ( ), ( )} F F x x ( ), F x x X i.e. (0) ( ) F F x x X (0) 1 F using (i) But we know that ( 0 ) 1 F Hence (0) 1 F Further, we have on putting x-1 for Y in (ii) condition of the definition of the fuzzy field 1 1 ( ) min{ ( ), ( )}, F F F xx x x 0 x X min{ ( ), ( )} F F x x ( ) F x Thus (1) ( ) F F X i.e. (1) 1 F using (i) But, we have (1) 1 F (1) 1 F 2.
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