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    A Decision Support System for Product Selection Using Hybridized Fuzzy-AHP TOPSIS Methods
    (Kırıkkale Üniversitesi, 2019) Kusakci, Ali Osman
    Product selectionprocess requires perfect satisfaction of the customer needs and preferences interms of quality, cost and functionality. Considering this aspects, it is acomplex multi-criteria decision making problem. This statement is especiallytrue for such product families with wide product variety. This study aims todesign an interactive decison support tool for selecting industrial fans byemploying a hybridized fuzzy-AHP and TOPSIS approach. With this work, an expertsystem for industrial fan selection is realized which collects customer’srequirements and preferences with Fuzzy-AHP and ranks the best fittingalternative products using TOPSIS approach.