DEVELOPMENT AND EVALUATION OF 5 FUZZY MULTIATTRIBUTE DECISION-MAKING METHODS

We present the development of five fuzzy multiattribute decision-makin g methods. These methods are based on the analytic hierarchy process ( original and ideal mode), the weighted-sum model, the weighted-product model, and the TOPSIS method. Moreover, these methods are examined in terms of two evaluative criteria. Computational results on test probl ems suggest that although all the methods are inaccurate, some of them seem to be more accurate than the others. The proposed evaluation met hodology can easily be used in evaluating more fuzzy multiattribute de cision making methods.