Titlebook: Axiomatic Fuzzy Set Theory and Its Applications; Xiaodong Liu,Witold Pedrycz Book 2009 Springer-Verlag Berlin Heidelberg 2009 AFS Theory.A

FLACK

Condescending

策略

Boxiang Lin,Pingping Fu,Bo Yangtails, the readers may refer to [1, 3, 2]. Our purpose is to familiarize the readers with the concepts and fundamental results, which will be exploited in further discussion. Some results listed without proofs is left to the reader.

拾落穗

https://doi.org/10.1007/978-3-031-02214-2een commonly encountered in the theory of topological molecular lattices, fuzzy matrices, AFS (Axiomatic Fuzzy Set) structures and AFS algebras. The proofs of some theorems or propositions which are not too difficult to be proved are left to the reader as exercises.

編輯才信任

Boxiang Lin,Pingping Fu,Bo Yangtails, the readers may refer to [1, 3, 2]. Our purpose is to familiarize the readers with the concepts and fundamental results, which will be exploited in further discussion. Some results listed without proofs is left to the reader.

ambivalence

Humanistic Leadership: A UAE Perspectivems, and approximate reasoning, Dubois gave the corresponding semantics of the membership grades, expressed in terms of similarity, preference, and uncertainty [1]. For a fuzzy concept . in the universe of discourse ., by comparison of the graded membership (Dubois interpretation of membership degree

padding

https://doi.org/10.1007/978-3-031-34366-7y logic for the AFS structure are proposed and a new framework of determining coherence membership functions is developed by taking both fuzziness (subjective imprecision) and randomness (objective uncertainty) into account. Singpurwalla’s measure of the fuzzy events in a probability space has been

Bernstein-test

BAIL

Claus Dierksmeier,Oliver Laaschof fuzzy rough sets are redefined and further studied in the setting of the Axiomatic Fuzzy Set (AFS) theory. These concepts will be referred to as . [32]. Compared with the “conventional” fuzzy rough sets, the advantages of AFS fuzzy rough sets are twofold. They can be directly applied to data anal

偽善

Claus Dierksmeier,Oliver Laaschas, and elaborate on the main relations between these topological structures. Second, we apply the topology derived by a family of fuzzy concepts in ., where . is a set of simple concepts, to analyze the relations among the fuzzy concepts. Thirdly, we propose the differential degrees and fuzzy simil