Document Type : Research Paper



In this paper, a novel intuitionist fuzzy TOPSIS method for group
decision making will be presented. In this method the preference
values for an alternative on criteria and the weight values of criteria
are given by experts, using linguistic values of trapezoidal intuitionist
fuzzy numbers, and weights of decision makers’ opinions are
unknown. In proposed method, expected values and weighted
averaging operator for trapezoidal intuitionist fuzzy numbers are used
to induce the weight values of criteria and decision makers’ opinions.
Then an algorithm for ranking alternatives is presented under
trapezoidal intuitionist fuzzy environment. Finally, using a numerical
example, the efficiency of new extended TOPSIS method is


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