Models for Multiple Attribute Decision Making with Intuitionistic Trapezoidal Fuzzy Information
نویسنده
چکیده
The aim of this paper is to investigate the multiple attribute decision making problems to deal with supplier selection with intuitionistic trapezoidal fuzzy information, in which the information about attribute weights is completely known, and the attribute values take the form of intuitionistic trapezoidal fuzzy number. We developed a multiple attribute decision making method by closeness to ideal alternative in intuitionistic trapezoidal fuzzy setting. Then, we calculate the distances between the ideal alternative and all alternatives to determine the ranking of all alternatives. Finally, an example with supplier selection is given.
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