Fuzzy multicriteria choice among alternatives: Worst-case approach

A method of multicriteria choice among alternatives under uncertainty is proposed. The method is based on the Bellman-Zadeh principle of intersection of fuzzy criteria and the Saaty 1–9 linguistic ratio scale. The novelty of the method consists in avoiding the laborious procedures of generating and processing paired comparison matrices. Instead of them, special relations based on comparison with the worst alternative and with the least important criterion are used. For the purposes of illustration, the method is illustrated by the problem of choosing a car.

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