Results 151 to 160 of about 356 (187)
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Sensitivity Analysis of the OWA Operator
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008The successful design and application of the ordered weighted averaging (OWA) method as a decision-making tool depend on the efficient computation of its order weights. The most popular methods for determining the order weights are the fuzzy linguistic quantifiers approach and the minimal variability method, which give different behavior patterns for ...
Mahdi, Zarghami +2 more
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International Journal of Intelligent Systems, 1997
Summary: One of the properties that the OWA operator satisfies is commutativity. This condition, that is not satisfied by the weighted mean, stands for equal reliability of all the information sources that supply the data. In this article we define a new combination function, the WOWA (weighted OWA), that combines the advantages of the OWA operator and
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Summary: One of the properties that the OWA operator satisfies is commutativity. This condition, that is not satisfied by the weighted mean, stands for equal reliability of all the information sources that supply the data. In this article we define a new combination function, the WOWA (weighted OWA), that combines the advantages of the OWA operator and
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Fuzzy Sets and Systems, 1993
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OWA Operators on Complete Lattices
IEEE Transactions on Fuzzy Systems, 2018Considering some aggregation functions, we define ${\bf B}$ - $ A$ -weighting vectors. Then, a definition for ordered weighted average (OWA) operators is given based on ${\bf B}$ - $ A$ -weighting vectors. Moreover, we show that our proposed definition for OWA operators over complete lattices is a generalization of the given definition by ...
Radko Mesiar +3 more
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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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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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On continuous generalized OWA operators
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011Recently, Zhou and Chen [Continuous generalized OWA operator and its application to decision making, Fuzzy Sets and Systems 168 (2011) 18–34.] introduced a class of operators called the continuous generalized ordered weighted averaging (C-GOWA) operators.
Yao Ouyang, Zhenjiang Zhao
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Cluster-reliability-induced OWA operators
International Journal of Intelligent Systems, 2012On the basis of cluster size and cluster cohesion, we propose a generalized cluster-reliability (CR) measure, which indicates the overall reliability of arguments in a cluster. Taking the reliability of clusters as order-inducing variables, we introduce a generalized cluster-reliability-induced ordered weighted averaging (CRI-OWA) operator from the ...
Feng-Mei Ma, Ya-Jun Guo, Ping-Tao Yi
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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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Probabilities in the OWA operator
Expert Systems with Applications, 2012We analyze the use of the probability in the ordered weighted average (OWA). We introduce the probabilistic OWA (POWA) operator. It is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum that considers the degree of importance that the probability and the OWA operator have in the ...
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