Results 231 to 240 of about 1,064,041 (287)
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Soft Computing, 2006
We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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International Journal of Intelligent Systems, 2002
Summary: The Ordered Weighted Averaging (OWA) operator was introduced by Yager to provide a method for aggregating several inputs that lie between the max and min operators. In this article, we investigate the uncertain OWA operator in which the associated weighting parameters cannot be specified, but value ranges can be obtained and each input ...
Xu, Z. S., Da, Q. L.
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Summary: The Ordered Weighted Averaging (OWA) operator was introduced by Yager to provide a method for aggregating several inputs that lie between the max and min operators. In this article, we investigate the uncertain OWA operator in which the associated weighting parameters cannot be specified, but value ranges can be obtained and each input ...
Xu, Z. S., Da, Q. L.
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IEEE Transactions on Fuzzy Systems, 2018
Inspired by the real needs of group decision problems, aggregation of ordered weighted averaging (OWA) operators is studied and discussed. Our results can be applied for data acting on any real interval, such as the standard scales $[0,1]$ and $[0,\infty [$ , bipolar scales $[-1,1]$ and $\mathbb {R}=]-\infty, \infty [$ , etc.
Radko Mesiar +3 more
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Inspired by the real needs of group decision problems, aggregation of ordered weighted averaging (OWA) operators is studied and discussed. Our results can be applied for data acting on any real interval, such as the standard scales $[0,1]$ and $[0,\infty [$ , bipolar scales $[-1,1]$ and $\mathbb {R}=]-\infty, \infty [$ , etc.
Radko Mesiar +3 more
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OWA operators with functional weights
Fuzzy Sets and Systems, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Medina, Jesús, Yager, Ronald R.
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Improving personnel selection by combining the minimal variance OWA operator and IPA
Journal of Intelligent & Fuzzy Systems, 2018Personnel selection issues can be viewed as a complicated multicriteria decision-making (MCDM) problem. Choosing the most appropriate personnel directly influences an organization’s competitiveness and its sustainable development.
Ta-Chun Wen, Kuei-Hu Chang, H. Lai
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Mm-OWA: A Generalization of OWA Operators
IEEE Transactions on Fuzzy Systems, 2018We characterize those operators that satisfy the properties of monotonicity, permutation invariance, positive homogeneity, and translation invariance. As these operators do not necessarily satisfy comonotonic additivity, their class is larger than that of ordered weighted averaging (OWA) operators.
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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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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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Exploring the knowledge diffusion and research front of OWA operator: a main path analysis
Artificial Intelligence Review, 2023Dejian Yu +3 more
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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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