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This article is cited in 1 scientific paper (total in 1 paper)
Aggregation of strict order fuzzy relations
S. O. Smerchinskaya, N. P. Yashina Moscow Aviation Institute (National Research University), 4 Volokolamskoe shosse, Moscow, A-80, GSP-3, 125993 Russia
Abstract:
The problem of finding a collective solution is considered when specifying the profile of expert preferences by fuzzy relations of strict order. Non-contradictory aggregated relation is built on the basis of a digraph of a fuzzy relation, the matrix of which consists of the arithmetic mean values of the elements of the matrices of fuzzy preferences of experts. The aggregated relation is also a fuzzy strict order and satisfies the requirements for collective decisions: minimal distance to expert preferences and non-contradictory. Algorithms that implement operations with fuzzy relations are proposed.
Keywords:
collective choice, fuzzy preference relation, fuzzy relation digraph, strict order, minimum distance.
Received: 27.08.2021 Revised: 27.08.2021 Accepted: 23.12.2021
Citation:
S. O. Smerchinskaya, N. P. Yashina, “Aggregation of strict order fuzzy relations”, Izv. Vyssh. Uchebn. Zaved. Mat., 2022, no. 7, 30–43; Russian Math. (Iz. VUZ), 66:7 (2022), 25–37
Linking options:
https://www.mathnet.ru/eng/ivm9791 https://www.mathnet.ru/eng/ivm/y2022/i7/p30
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Abstract page: | 98 | Full-text PDF : | 48 | References: | 28 | First page: | 5 |
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