Hesitant Fuzzy Set Theory
Subalgebras and Ideals in BCK/BCI-algebras Based on Uni-hesitant Fuzzy Set Theory
... The hesitant fuzzy set which is introduced by Torra [14] is a useful generalization of the fuzzy set that is designed for situations in which it is difficult to determine the mem- ...
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HESITANT FUZZY IDEAL EXTENSION IN PO-SEMIGROUPS
... a set S, a fuzzy subset of S (or a fuzzy set in S) is described as an arbitrary mapping f : S → [0,1], where [0,1] is the usual interval of real ...of fuzzy set was introduced by ...
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Hesitant Fuzzy Soft Group
... Conclusion: Hesitant fuzzy set theory is a newly emerging mathematical tool to deal with uncertain ...a hesitant fuzzy soft group in combination of hesitant soft ...
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HESITANT FUZZY SETS APPROACH TO IDEAL THEORY IN TERNARY SEMIGROUPS
... of fuzzy set as an extension of the classical notion of ...The fuzzy set theory can be used in a wide range of domains to manipulate different types of ...introduced hesitant ...
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Image Mining Inranking Approach under Interval Valued Hesitant Fuzzy Set Gr Selection
... is additional fascinating as a result of reduction of the experts' opinions within the procedure of cluster deciding issues may decrease the uncertainty. to handle the problem, poor attention is provided to assess ...
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Fuzzy Parameterized Dual Hesitant Fuzzy Soft Sets and Its Application in TOPSIS
... new theory namely fuzzy parameterized dual hesitant fuzzy soft sets ...This theory is an extension of the existing dual hesitant fuzzy soft set whereby the ...
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Interval Valued Intuitionistic Triangular Hesitant Fuzzy Focal Elements And Their Corresponding Basic Probability Assignments Using Four New Operators
... Hesitant fuzzy sets, permitting the membership of an element to be a set of several possible values can be used as an efficient mathematical tool for modeling peoples hesitancy in day to day ...
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Grey Relational Analysis for Hesitant Fuzzy Sets and Interval-Valued Hesitant Fuzzy Sets with Applications to MADM Problems
... A novel fuzzy soft set approach in decision making based on grey relational analysis and 556. Dempster–Shafer theory of evidence[r] ...
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A new assessment method of new energy in regional sustainable development based on hesitant fuzzy information
... 1985). Fuzzy logic and fuzzy set are suitable to hand imperfect, vague or imprecise information (Zimmermann, ...of fuzzy sets in terms of expressing human preferences, Zadeh (1965) presented ...
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New Operations over Interval Valued Intuitionistic Hesitant Fuzzy Set
... intuitionistic fuzzy set (IFS for short) has three associated defining functions, namely the membership function, the non-membership function and the hesitancy ...intuitionistic fuzzy sets ...
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On Intuitionistic Fuzzy Normal Groups
... Intutionistic fuzzy normal ...of fuzzy set theory , over an extra edge on ordinary set ...of fuzzy set theory, then the researchers started to think about the ...
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Transformation of BL-general Fuzzy Automata
... BL-general fuzzy automaton is less than the minimal quotient BL-general fuzzy automa- ...BL-general fuzzy automaton is less than the minimal quotient BL-general fuzzy ...
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Type-2 Fuzzy Set Theory in Medical Diagnosis
... under fuzzy environment is an important ...through fuzzy sets and its generalizations. The theory of type-2 fuzzy sets is an intuitive and computationally feasible in addressing uncertain and ...
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Theory of Complex Fuzzy Soft Set and Its Applications
... The objective of this paper is to investigate the further development of theory of soft complex fuzzy set. Consequently, a major part of this work is dedicated to a discussion of the intuitive ...
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Vol 8, No 9 (2017)
... A fuzzy graph is a pair of functions G = (σ, μ) where σ is a fuzzy subset of a non empty set V and is a symmetric fuzzy relation on ...the fuzzy vertex set of V and is called the ...
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Rainfall Prediction Model Improvement by Fuzzy Set Theory
... ranges were (0 to 12.50), (12.50 to 25.00), (25.00 to 37.50), and (37.50 to 50.00), respectively. The primary model was developed with equal intervals of the triangu- lar fuzzy levels where as the sub-ranges in ...
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Fuzzy Boundary Attribute Transformation in Databases
... that set, as well as a partial member with a degree of membership of that ...set. Fuzzy sets were introduced by Lotfi ...of set [10]. In classical set theory, the membership of ...
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Online Full Text
... of fuzzy research in the ISI Web of ...in fuzzy research, the top authors according to the number of publications, the top journals, the evolution by years and the top ...
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Senstivity Analysis of Project Scheduling using Fuzzy Set Theory
... The Fuzzy set theory has been studying nearly the past 55 ...in fuzzy set theory pertained to representing uncertainty in human cognitive processes according Zadeh ...(1965)). ...
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Fuzzy soft set theory applied to medical diagnosis using fuzzy arithmetic operations
... apply fuzzy soft set theory to develop a technique through Sanchez’s method to diagnose which patient is suffering from what ...a fuzzy soft set (F, P) over S where F is a mapping F : P ...
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