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Operation and ordering of fuzzy sets, and fuzzy set-valued convex mappings [PDF]
, 2014 For fuzzy mathematical models using general fuzzy sets rather than fuzzy numbers or fuzzy vectors, operations (addition and scalar multiplication) and orderings of fuzzy sets are needed, and the concept of fuzzy set-valued convex mappings is important ...
Masamichi Kon
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Study and Analysis the Mathematical Operations of Fuzzy Logic
مجلة بغداد للعلوم, 2009 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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Functional Partial Fuzzy Relations
Mathematics, 2021 We study fuzzy relations that satisfy the functionality property and that their membership functions can be partial functions. Such fuzzy relations are called partial fuzzy relations, and the variable-domain fuzzy set theory is a framework that provides ...
Martina Daňková
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IEEE Access, 2019 An interval-valued picture fuzzy set (IVPFS) is one of the generalizations of an interval-valued fuzzy set to handle the uncertainties in the data during analysis.
Ahmed Mostafa Khalil +4 more
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Fundamentals of Picture Fuzzy Hypersoft Set with Application [PDF]
Neutrosophic Sets and Systems, 2023 Theory of picture fuzzy soft set and generalized picture fuzzy soft sets(GPFSS) extended to picture fuzzy hypersoft sets (PFHSS) and generalized picture fuzzy hypersoft set (GPFHSS) respectively handle the uncertainties and multi-attribute values in the ...
Muhammad Saeed, Muhammad Imran Harl
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Complexity, 2022 The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision-making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set.
Ateeq Ur Rehman +5 more
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Computer and fuzzy theory application: review in home appliances [PDF]
Journal of Fuzzy Extension and Applications, 2020 Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial ...
Tim Chen +3 more
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Comments on: Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship [PDF]
, 2015 This Letter makes some observations about [2] that further support the distinction between an interval type-2 fuzzy set (IT2 FS) and an interval-valued fuzzy set (IV FS), points out that all operations, methods and systems that have been developed and ...
Bustince, H +3 more
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THE CONSTRUCTION OF SOFT SETS FROM FUZZY SUBSETS
Barekeng, 2023 Molodtsov introduced the concept of soft sets formed from fuzzy subsets in 1999. The soft set formed from a fuzzy subset is a particular form of a soft set on its parameter set. On a soft set formed from a fuzzy subset, the parameter used is the image of
Na'imah Hijriati +3 more
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Aczel–Alsina Hamy Mean Aggregation Operators in T-Spherical Fuzzy Multi-Criteria Decision-Making
Axioms, 2023 A T-spherical fuzzy set is a more powerful mathematical tool to handle uncertain and vague information than several fuzzy sets, such as fuzzy set, intuitionistic fuzzy set, Pythagorean fuzzy set, q-rung orthopair fuzzy set, and picture fuzzy set.
Haolun Wang +4 more
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