Fuzzy group decision making based on grey relative analysis

In group decision making settings, it is believed that expert preferences should be represented by fuzzy numbers since they are often expressed subjectively, imprecisely and vaguely. This paper proposes to employ the grey relative analysis to deal with the fuzzy group decision making problem. To aggregate individual opinions into an optimal consensus, this approach integrates grey relative analysis in two steps, one for individual integration and the other for group integration. Trapezoidal fuzzy numbers are utilised to deal with the fuzziness of human judgement.

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