Results 241 to 250 of about 1,064,041 (287)

Dependent OWA Operators

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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OWA Operators and Nonadditive Integrals

2011
We 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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The OWA operator in multiple linear regression

Applied Soft Computing, 2022
Martha Flores-Sosa, Ezequiel Avilés-Ochoa, J. Merigó, J. Kacprzyk   +3 more
semanticscholar   +1 more source

On continuous generalized OWA operators

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Recently, 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, 2012
On 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

2013
The 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, 2012
We 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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Norms Induced from OWA Operators

IEEE Transactions on Fuzzy Systems, 2010
We describe the basic properties of a norm and introduce the Minkowski norm. We then show that the OWA aggregation operator can be used to provide norms. To enable this we require that the OWA weights satisfy the buoyancy property, w j ? w k for j < k. We consider a number of different classes of OWA norms. It is shown that the functional generation of
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Wasserstein distance for OWA operators

Fuzzy Sets and Systems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
István Á. Harmati, Lucian Coroianu, Robert Fullér   +2 more
openaire   +2 more sources

Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers

, 2020
S. S. Ganji, A. Rassafi, Samaneh Jamshidi Bandari   +2 more
semanticscholar   +1 more source