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Preprints of the Keldysh Institute of Applied Mathematics, 2019, 101, 12 pp.
DOI: https://doi.org/10.20948/prepr-2019-101 (Mi ipmp2739) 		 
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
Full-text PDF (1236 kB) Citations (2)
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DOI: https://doi.org/10.20948/prepr-2019-101
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.
Funding agency Grant number
Russian Foundation for Basic Research 19-01-00520_а
Document Type: Preprint
Language: Russian
Citation: A. I. Posadsky, T. V. Sivakova, V. A. Sudakov, “Aggregation of fuzzy expert judgments”, Keldysh Institute preprints, 2019, 101, 12 pp.
Citation in format AMSBIB
\Bibitem{PosSivSud19}
\by A.~I.~Posadsky, T.~V.~Sivakova, V.~A.~Sudakov
\paper Aggregation of fuzzy expert judgments
\jour Keldysh Institute preprints
\yr 2019
\papernumber 101
\totalpages 12
\mathnet{http://mi.mathnet.ru/ipmp2739}
\crossref{https://doi.org/10.20948/prepr-2019-101}
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  • https://www.mathnet.ru/eng/ipmp2739
  • https://www.mathnet.ru/eng/ipmp/y2019/p101
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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    References:23
     
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