Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Information Sciences: an International Journal
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Fuzzy probabilities: tentative discussions on the mathematical concepts
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Using Soft Constraints to Interpret Descriptions of Shapes
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
Information Sciences: an International Journal
On the use of words and fuzzy sets
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Granular representation and granular computing with fuzzy sets
Fuzzy Sets and Systems
A cooperative spectrum sensing scheme using adaptive fuzzy system for cognitive radio networks
Information Sciences: an International Journal
From Numeric to Granular Description and Interpretation of Information Granules
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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This paper mainly tries to show that the membership function of a fuzzy set labeled P does show some intrinsic property related with how P is actually managed in the universe of discourse. Its final goal is to analyze an answer to the question, which intrinsic but simple property allows a function to represent a fuzzy set labeled P? The presented property exhibits that the membership function just 'measures' in some scale the extent up to which x is P in language, for all x in the universe of discourse. Such study is done in a form allowing to consider how to represent the 'collective' originated by a predicate reflecting a collective noun. As particular cases of what is presented, and when the degrees can be some kinds of numerical subsets, the Zadeh's fuzzy sets, the interval-valued, the intuitionistic, and the type-2 fuzzy sets, appear as particular cases and to some extent are discussed. A 'unification' of all different kinds of fuzzy sets based on a linguistic origin is achieved.