On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
On the issue of defuzzification and selection based on a fuzzy set
Fuzzy Sets and Systems
An introduction to fuzzy control
An introduction to fuzzy control
A characterization of a class of aggregation functions
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy integral in multicriteria decision making
Fuzzy Sets and Systems - Special issue on fuzzy information processing
Constructing membership functions using interpolation and measurement theory
Fuzzy Sets and Systems
A set-theoretical defuzzification method
Fuzzy Sets and Systems
Scheduling as a fuzzy multiple criteria optimization problem
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Knowledge-based defuzzification
Fuzzy Sets and Systems
A defuzzification method respecting the fuzzification
Fuzzy Sets and Systems
Ranking fuzzy numbers using ω-weighted valuations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Characterization of the ordered weighted averaging operators
IEEE Transactions on Fuzzy Systems
Elicitation, assessment, and pooling of expert judgments using possibility theory
IEEE Transactions on Fuzzy Systems
Aggregation operators: properties, classes and construction methods
Aggregation operators
Parameterized defuzzification with continuous weighted quasi-arithmetic means - An extension
Information Sciences: an International Journal
A defuzzification method of fuzzy numbers induced from weighted aggregation operations
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Parameterized approximation of fuzzy number with minimum variance weighting functions
Mathematical and Computer Modelling: An International Journal
An ordered weighted average with a truncation weight on intervals
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
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The basic operations for combining real values are the weighted mean (WM) and the Ordered Weighted Averaging (OWA) operator. The weighted mean allows the system to compute an aggregate value from the ones coming from several sources, taking into account the reliability of each information source. Alternatively, the OWA operator allows the user to weight the values supplied in relation to their alternative ordering. The Weighted OWA operator (WOWA) allows the user to consider both aspects using two sets of weights. In this chapter we describe an extension of the WOWA operator to the continuous case after arguing its convenience. Then, we analyze the use of this operator for defuzzification.