A Decision Support System for Product Selection Using Hybridized Fuzzy-AHP TOPSIS Methods

Product selection process requires perfect satisfaction of the customer needs and preferences in terms of quality, cost and functionality. Considering this aspects, it is a complex multi-criteria decision making problem. This statement is especially true for such product families with wide product variety. This study aims to design an interactive decison support tool for selecting industrial fans by employing a hybridized fuzzy-AHP and TOPSIS approach. With this work, an expert system for industrial fan selection is realized which collects customer’s requirements and preferences with Fuzzy-AHP and ranks the best fitting alternative products using TOPSIS approach