MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

  • EZGİ GÜLER
    Department of Industrial Engineering, Istanbul Okan University, Istanbul, 34959, Turkey
  • SELEN AVCI
    Department of Industrial Engineering, Kocaeli University, Kocaeli, 41380, Turkey
  • ZERRİN ALADAĞ
    Department of Industrial Engineering, Kocaeli University, Kocaeli, 41380, Turkey

Abstract

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects.

Cuvinte cheie

analytic hierarchy process (AHP) intuitive fuzzy topsis (IF-TOPSIS) project selection R&D project