2021
DOI: 10.3390/math9040447
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On Unification of Methods in Theories of Fuzzy Sets, Hesitant Fuzzy Set, Fuzzy Soft Sets and Intuitionistic Fuzzy Sets

Abstract: The main goal of this publication is to show that the basic constructions in the theories of fuzzy sets, fuzzy soft sets, fuzzy hesitant sets or intuitionistic fuzzy sets have a common background, based on the theory of monads in categories. It is proven that ad hoc defined basic concepts in individual theories, such as concepts of power set structures in these theories, relations or approximation operators defined by these relations are only special examples of applications of the monad theory in categories. … Show more

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Cited by 17 publications
(11 citation statements)
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“…Step 2: establish a fuzzy adjacency matrix Step 3: use the Chad fuzzy operator in the fuzzy matrix [39] calculation rules to calculate the fuzzy reachability matrix from the fuzzy adjacency matrix Step 4: introduce the intercept coefficient α to transform it into a reachable matrix of 0 to 1, and obtain the α intercept matrix…”
Section: Fuzzy-ismmentioning
confidence: 99%
“…Step 2: establish a fuzzy adjacency matrix Step 3: use the Chad fuzzy operator in the fuzzy matrix [39] calculation rules to calculate the fuzzy reachability matrix from the fuzzy adjacency matrix Step 4: introduce the intercept coefficient α to transform it into a reachable matrix of 0 to 1, and obtain the α intercept matrix…”
Section: Fuzzy-ismmentioning
confidence: 99%
“…In this section, we deal with the construction of the intuitionistic F-transform (i.e., F-transform for intuitionistic L -fuzzy sets) using a monad and semimodule homomorphisms. For this purpose, we use the monad defined by the power set structure of all intuitionistic L -fuzzy sets in a set X, the existence of which was proven in the [39] and which is defined in the following definition.…”
Section: F-transform For Intuitionistic L -Fuzzy Setsmentioning
confidence: 99%
“…Definition 13 [39] Let L be a complete MV-algebra. The monad = (J, ⊠, 𝜚) in the category is defined by…”
Section: F-transform For Intuitionistic L -Fuzzy Setsmentioning
confidence: 99%
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