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This article is cited in 2 scientific papers (total in 2 papers)
Aggregation of fuzzy expert judgments
A. I. Posadsky, T. V. Sivakova, V. A. Sudakov
Abstract:
Two methods of aggregating fuzzy judgments of experts are proposed in the work: a fuzzy weighted sum based on a generalization operation and an average fuzzy ranking. Fuzzy object scores are used to calculate ranks based on the eigenvector of the fuzzy ratio matrix. The problem of determining the optimal fuzzy ranking is reduced to the linear programming problem.
Keywords:
expert, membership function, fuzzy number, pairwise comparisons, linear programming, eigenvector.
Citation:
A. I. Posadsky, T. V. Sivakova, V. A. Sudakov, “Aggregation of fuzzy expert judgments”, Keldysh Institute preprints, 2019, 101, 12 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2739 https://www.mathnet.ru/eng/ipmp/y2019/p101
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Statistics & downloads: |
Abstract page: | 132 | Full-text PDF : | 44 | References: | 23 |
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