Results 21 to 30 of about 23,803 (254)
A Brief Analysis and Interpretation on Arithmetic Operations of Fuzzy Numbers
Fuzzy set theory is a generalized form of crisp set theory where elements are binary inclusion forms. In fuzzy set, it differs with degree of membership for every element in the set. There are several strategies for arithmetic operations on fuzzy numbers.
Asesh Kumar Mukherjee +4 more
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After introducing and developing fuzzy set theory, a lot of studies have been done to combine statistical methods and fuzzy set theory. Thisworks, called fuzzy statistics, have been developed in some branches. In this article we review essential works on
S. Mahmoud Taheri
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Three-Way Fuzzy Sets and Their Applications (II)
Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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Some Topological and Algebraic Properties of α-level Subsets’ Topology of a Fuzzy Subset
The theory of fuzzy sets, since its foundation, has advanced in a wide range of means and in many fields. One of the areas to which fuzzy set theory has been applied extensively is mathematical programming.
Onasanya B. O., Hoskova-Mayerova S.
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Study and Analysis the Mathematical Operations of Fuzzy Logic
The last decade of this 20th century provides a wide spread of applications of one of the computer techniques, which is called Fuzzy Logic. This technique depends mainly on the fuzzy set theory, which is considered as a general domain with respect to the
Baghdad Science Journal
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Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
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Makgeolli Structures and Its Application in BCK/BCI-Algebras
A fuzzy set is an extension of an existing set using fuzzy logic. Soft set theory is a generalization of fuzzy set theory. Fuzzy and soft set theory are good mathematical tools for dealing with uncertainty in a parametric manner.
Sun Shin Ahn +3 more
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Application of m- polar soft fuzzy bi- partite graph in residence selection process
An $m-$polar fuzzy set and soft sets are two different tools for representing uncertainty and vagueness. An $m-$polar soft fuzzy set is a mapping from parameter set to the $m-$polar fuzzy subsets of the universe.
S Ramkumar, R Sridevi
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On the Fundamentals of Fuzzy Set Theory
In the following considerations we restrict our interest to foundation-theoretically oriented aspects of fuzzy set theory (resp. fuzzy logic), especially to their mathematical semantics. We distinguish two mainstreams: \(\bullet\) Plausibility theory (including possibility and probability theory). \(\bullet\) Non-classical model theory.
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