Multi-criteria group decision making with fuzzy logic and entropy based weighting

Multi-criteria decision making problem is commonly encountered nowadays for making decisions under the presence of multiple alternatives with regards to relevant criteria. The existing approaches are limited because of unquantifiable and incomplete information in typical environment. Furthermore, the fuzziness and vagueness of human judgment and preference make the approaches difficult to be applied in practice. In this paper we present a new multi-criteria group decision making approach employing fuzzy theory using linguistic values and entropy-based criteria weighting. An illustrative example is shown to demonstrate the effectiveness of the proposed scheme.

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