Fuzzy TOPSIS with Interval Data Based Possibility Measure Approach for Multi-criteria Group Decision Making: Application to Information System Selection

Supply chain partners increasingly make shared important decisions to achieve joint goals. Decisions include selecting partners, sites, machines, technologies, transportation modes, maintenance policies, etc. In this paper, we address the supply chain selection as a multi-criteria group decision making (MCGDM) problem. More specifically, a fuzzy TOPSIS with interval data-based possibility measure approach is developed. To bring consensus among the decision makers (DMs) regarding the preferences, a possibility measure algorithm is used. The final fuzzy decision matrix is formed by consensus of all the concerned partners. Finally, to demonstrate the applicability of the approach, a simple illustrative example dedicated to information system selection problem is presented and the obtained numerical results analysed.