Fuzzy TOPSIS method for academic member selection in engineering faculty

Abstract

This paper presents fuzzy TOPSIS (technique for order preference by similarity to ideal solution) method for academic member selection. In academic member selection problem the ratings of various alternatives versus various subjective criteria and the weights of all criteria are assessed in linguistic variables represented by fuzzy numbers. Fuzzy numbers try to resolve the ambiguity of concepts that are associated with human being's judgments. To determine the order of the alternatives, closeness coefficient is defined by calculating the distances to the fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS). Universities can select the appropriate academic member by using fuzzy TOPSIS method. By this way the quality of education will be increased in universities. © 2007 Springer.