Fuzzy Multi-criteria Decision Making Algorithms

نویسندگان

  • Vania Peneva
  • Ivan Popchev
چکیده

The paper presents a brief description of algorithms for solving fuzzy multicriteria decision making problems. The evaluations of the alternatives by the criteria can be real numbers by different scales, fuzzy preference relations by each criterion or trapezoidal fuzzy numbers by the criteria. The weights of the criteria can be real numbers, weighting functions or fuzzy relation between the couples of criteria according to their importance. Different combinations between the initial information may be used to solve the problems of choice or ordering of the alternatives.

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تاریخ انتشار 2010