On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
An introduction to fuzzy control
An introduction to fuzzy control
Structural and functional quantization of vagueness
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Identification method of possibility distributions and its application to discriminant analysis
Fuzzy Sets and Systems - Special issue on expert decision support systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Sets and Systems - Special issue on modern fuzzy control
Constructing membership functions using interpolation and measurement theory
Fuzzy Sets and Systems
Induction of fuzzy decision trees
Fuzzy Sets and Systems
A multi-stage system in compilation environments
Fuzzy Sets and Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
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In this paper, we study the semantics of fuzzy sets. We show that fuzzy sets can be interpreted as the aggregation of a set of observations. We formalize this interpretation by means of the OWA and the WOWA operators. The introduction of the WOWA operator allows the user to weigh each observation.