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This paper studies the problem of multi-criteria comprehensive evaluation under the uncertain information, i.e., the criteria values are given in the forms of linguistic fuzzy numbers. The method of transforming the linguistic fuzzy numbers into trapezoidal fuzzy numbers is given, and a new multi-criteria comprehensive evaluation model is presented based on an optimization method of deviation degree...
The problem of multi-attribute group decision making with the attribute values are given in the forms of linguistic fuzzy numbers, is studied. First of all, a scale of the linguistic assessments is defined, and the corresponding representation of trapezoidal fuzzy numbers are given, then a new TOWA operator is presented to aggregate the trapezoidal fuzzy numbers. Furthermore, a new method is presented...
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