Results 131 to 140 of about 356 (187)
Suitability analysis to determine optimal locations of local community radio transmitters using GIS and remote sensing: a case study of Chipinge district, Zimbabwe. [PDF]
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International Journal of Approximate Reasoning, 2023
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Vikas Srivastava, Amit K. Singh
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Vikas Srivastava, Amit K. Singh
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IEEE Transactions on Fuzzy Systems, 2015
A critical issue when selecting an ordered weighted aggregation (OWA) operator is the determination of the associated weights. For this reason, numerous weight generating methods have appeared in the literature. In this paper, a generalization of the binomial OWA operator on the basis of the Stancu polynomial is proposed and analyzed.
Amit K. Singh +2 more
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A critical issue when selecting an ordered weighted aggregation (OWA) operator is the determination of the associated weights. For this reason, numerous weight generating methods have appeared in the literature. In this paper, a generalization of the binomial OWA operator on the basis of the Stancu polynomial is proposed and analyzed.
Amit K. Singh +2 more
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Tax Revenue Measurement Using OWA Operators
Cybernetics and Systems, 2022The aim of this paper is to present the application of the OWA operator and some of its extensions in the calculation of continent and global tax revenues. The idea is to present how the analysis of an important economic indicator can vary depending on how the information is aggregated.
Ernesto Leon-Castro +4 more
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RECURSIVE AND ITERATIVE OWA OPERATORS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005An important issue when using the OWA aggregation operators is the determination of weights. One approach is to link the weights to a desired attitudinal character for the aggregation. The ME-OWA operators provide a pioneering example of this approach.
Troiano, Luigi, Yager, Ronald R.
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On the Comparisons of OWA Operators and Ordinal OWA Operators
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997In this paper, comparisons of OWA operators and ordinal OWA operators are carried out by using lattice theoretic methods. It is proved first that in both cases, the set of all aggregation operators forms a lattice, then the concept of positive valuation is used to measure the "orness" of aggregation operators and the structures of all such possible ...
Taihe Fan, Dan A. Ralescu
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Fuzzy Optimization and Decision Making, 2002
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The equivalence of maximum entropy OWA operator and geometric OWA operator
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004In this paper, some properties of geometric OWA operator are investigated. The equivalence of the geometric OWA operator and the Maximum Entropy OWA operator is proved.
null Xin-Wang Liu, null Liang-Hua Chen
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Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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