Fuzzy complex ranking method and its use for multicriteria comparison of alternatives / Potomkin, / Sedliar, / Sirchenko, / Ishchenko. (2022)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2022, 58 (3))

Potomkin M.M., Sedliar A.A., Sirchenko R.S., Ishchenko O.M.
Fuzzy complex ranking method and its use for multicriteria comparison of alternatives

It is noted that fuzzy methods are widely used to substantiate rational decisions in multi-criteria analysis of complex systems since the operating conditions of such systems and their characteristics are mostly non-deterministic and should be considered in solving problems with non-stochastic uncertainty. A description of the well-known complex ranking method and its analysis are provided. It is noted that it provides certain positive results, but does not allow solving the problem of multi-criteria comparison of alternatives under non-stochastic uncertainty. Based on this method, a fuzzy complex ranking method is developed, and the calculation example shows the possibility of its practical use. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: alternative, calculation example, fuzzy numbers, multi-criteria decision-making, non-stochastic uncertainty, ranking method, Decision making, Fuzzy sets, Uncertainty analysis, Alternative, Calculation example, Fuzzy numbers, Multi criteria decision-making, Multicriteria decision-making, Multicriterion decision makings, Non-stochastic, Non-stochastic uncertainty, Ranking methods, Stochastic uncertainties, Stochastic systems


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Cite:
Potomkin M.M., Sedliar A.A., Sirchenko R.S., Ishchenko O.M. (2022). Fuzzy complex ranking method and its use for multicriteria comparison of alternatives. Cybernetics and Systems Analysis, 58 (3), 83-90. doi: https://doi.org/10.1007/s10559-022-00471-0 http://jnas.nbuv.gov.ua/article/UJRN-0001323859 [In Ukrainian].


 

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