Özet:

The use of type-2 fuzzy logic sets is more flexible and successful than the classical logic sets in solving problems where the criteria and alternatives are large and the uncertainty is high. For this reason, integrating MCDM problems with interval type-2 fuzzy numbers will provide advantages in the decision-making process. On the other hand, a mixed analysis of the decision-making process, which requires the use of human sensitivity to reflect the influence level of the decision maker, can be expressed as the fuzzy rule base. The ranking of three alternatives under three criteria for the selection of appropriate suppliers in this study, taking into account expert opinions is as follows: Primarily, the interval fuzzy type-2 Analytical Hierarchy Process (IT2 AHP) method, which has no rule base and recommended by Kahraman et al. (2014) was used, and then the alternatives were ranked by the Interval Type-2 Fuzzy-Rule Based Analytical Hierarchy Process (IT2 FRB AHP) which was recommended in the context of this study. The ranking performance evaluation based on the Kendall Tau correlation was performed on the ranking results which were obtained by the two methods, and then it was seen in the obtained results that the ranking performance with IT2 FRB AHPwas found to be higher. Moreover, as a result of the application study, it was revealed that the applied IT2 FRB AHP method can be used in the selection of suppliers for firms.

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