Results 181 to 190 of about 520,055 (205)
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An OWA operator with fuzzy ranks
International Journal of Intelligent Systems, 1998Summary: The ordered weighted averaging (OWA) operator of Yager was introduced to provide a method for aggregating several inputs which lies between the max and min operators. The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their integer ranks. In this paper, we generalize the OWA
H. B. Mitchell, D. D. Estrakh
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2006
Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties.
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Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties.
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Norm Aggregations and OWA Operators
2013The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper studies the use of the OWA operator with norms. Several extensions and generalizations are suggested including the use of the induced OWA operator and the OWA weighted average.
José M. Merigó, Ronald R. Yager
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OWA Operators and Nonadditive Integrals
2011We give a survey on the relations between nonadditive integrals (Choquet integral, Sugeno integral) and the OWA operator and its variants. We give also some behavioral indices for the OWA operator, as orness, veto and favor indices, etc. Finally, we propose the use of p-symmetric capacities for a natural generalization of the OWA operator.
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OWA aggregation operator in robust filtering
2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems, 2017In this paper, an overview of the robust filtering problem is provided and the ordered weighted aggregation (OWA) operator is described. This operator is applied as a weighted average of ordered signal samples in a sliding window to produce output values of a filter.
Tomasz Pander, Janusz Wrobel
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Wasserstein distance for OWA operators
Fuzzy Sets and SystemszbMATH Open Web Interface contents unavailable due to conflicting licenses.
István Á. Harmati +2 more
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Measuring Errors with the OWA Operator
2012We study the use of the ordered weighted average in the mean error. We introduce the ordered weighted averaging error operator. It is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum error. We study some of its properties and particular cases.
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On the dispersion measure of OWA operators
Information Sciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy Sets and Systems, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Some properties of the weighted OWA operator
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2006Based on the researches on ordered weighted average (OWA) operator, the weighted OWA operator (WOWA) and especially the quantifier guided aggregation method, with the generating function representation of regular increasing monotone (RIM) quantifier technique, we discuss the properties of WOWA operator with RIM quantifier in the respect of orness. With
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