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Keywords:
Fuzzy; group decision-making; multicriteria evaluation; fuzzy weighted average; consensus reaching; fuzzy quantifiers
Fuzzy; group decision-making; multicriteria evaluation; fuzzy weighted average; consensus reaching; fuzzy quantifiers
Summary:
The paper introduces a new method of reaching a consensus in multiple criteria group decision-making under fuzziness. This model is based on the general definition of the ‘soft’ consensus introduced by Kacprzyk and Fedrizzi in 1986. The fuzzy evaluations of alternatives express degrees of fulfillment of the given goals by the respective alternatives for each expert. The selection of the best alternative is based on the fuzzy consensus by experts. For this purpose a set of alternatives which are good enough with respect to the most of relevant experts is identified. From this set the alternative with the highest center of gravity (defuzzified fuzzy evaluation) is selected as the most promising one.
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