Multiple Attribute Group Decision Making with Multiplicative Preference Information
نویسنده
چکیده
Abstract: This paper studies the multiple attribute group decision making problems, in which the decision makers (DMs) have multiplicative preference information on alternatives. We first make the decision information uniform by using a transformation formula and introduce some linear deviation elements, and then establish a constrained optimization model. Based the model, an approach is developed for obtaining the attribute weights, and then the simple additive weighting method is used to rank the alternatives.
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