Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Çanakkale, Türkiye, 16 - 18 Temmuz 2024, cilt.1090 LNNS, ss.606-613
Multi-criteria decision-making problems are a type of problem used in many areas. Daily life problems are too complex to be solved with a single criterion. Therefore, a solution that evaluates multiple criteria together is needed. Multi-criteria decision-making methods are used for the solution. Supplier selection problems have multiple criteria to select the supplier. For this reason, supplier selection problems are multi-criteria decision-making problems. Within this study, it is thought that the time spent while making decisions in supplier selection is much more than the time spent by creating a fuzzy system, and it is aimed to calculate the efficiency of the fuzzy system created in terms of the time spent by using the fuzzy number again. In this study, a fuzzy multi-criteria decision-making problem is defined for supply selection and a decision support system is designed for this problem. Considering that the problems are solved quicker with this system, an increase in efficiency is noticed. A new efficiency calculation is made by using interval type 2 numbers to calculate the efficiency increase. The study compared the classical supplier selection decisions with fuzzy decision-making system. As a result of this comparison, it is noticed that the time is saved even in a decision-making problem. It is thought that there is a time planning before it will be written by a problem department for use. Considering that the supplier selection problem is frequently made by the department, a serious time saving is noticed. No study is found on the use of fuzzy numbers in efficiency calculation in the accessible literature. This study will contribute to the literature by creating a new efficiency formula using interval type-2 fuzzy number in efficiency calculation.