Fuzzy number-valued fuzzy measure and fuzzy number-valued fuzzy integral on the fuzzy set
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Cardinality, quantifiers, and the aggregation of fuzzy criteria
Fuzzy Sets and Systems - Special issue on fuzzy information processing
An overview of fuzzy quantifiers. (I). Interpretations
Fuzzy Sets and Systems
An overview of fuzzy quantifiers (II). Reasoning and applications
Fuzzy Sets and Systems
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Linguistic quantifiers modeled by Sugeno integrals
Artificial Intelligence
A formal theory of intermediate quantifiers
Fuzzy Sets and Systems
Monadic L-fuzzy quantifiers of the type
Fuzzy Sets and Systems
A formal theory of generalized intermediate syllogisms
Fuzzy Sets and Systems
Fuzzy measures and integrals defined on algebras of fuzzy subsets over complete residuated lattices
Information Sciences: an International Journal
Reasoning about mathematical fuzzy logic and its future
Fuzzy Sets and Systems
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The aim of this paper is, first, to introduce two new types of fuzzy integrals, namely, @?-fuzzy integral and --fuzzy integral. The first integral is based on a fuzzy measure of L-fuzzy sets and the second one on a complementary fuzzy measure of L-fuzzy sets, where L is a complete residuated lattice. Some of their properties and a relation to the fuzzy (Sugeno) integral are investigated. Second, using these integrals, two classes of monadic L-fuzzy quantifiers of type are defined. These L-fuzzy quantifiers can be used for modeling the semantics of natural language quantifiers like ''all'', ''some'', ''many'', ''none'', ''at most half'', etc. Several semantic properties of these L-fuzzy quantifiers are studied.