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JOURNALS // Preprints of the Keldysh Institute of Applied Mathematics // Archive

Keldysh Institute preprints, 2019 101, 12 pp. (Mi ipmp2739)

This article is cited 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.

DOI: 10.20948/prepr-2019-101



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