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In this study an academician selection system has been developed for universities using fuzzy weighting and fuzzy ranking. In the system, effects of many criteria and views of many experts are evaluated for selection. Number of criteria, number of linguistic variables of criteria, names of linguistic variables, membership functions of linguistic variables, number of experts and alternatives can be changed in our system. Experts can determine importances of criteria and performance of each alternative for each criter as linguistic or numerical. The system weights the alternatives using standard fuzzy arithmetic and ranks as fuzzy. In our system maximizing set and minimizing set method has been used for ranking alternatives.

A DECISION MAKER SYSTEM FOR ACADEMICIAN SELECTION WITH FUZZY WEIGHTING AND FUZZY RANKING