Development of a quick credibility scoring decision support system using fuzzy TOPSIS

Authors:
Yusuf Tansel İÇ;Mustafa Yurdakul
Affiliations:
Department of Industrial Engineering, Faculty of Engineering, Baskent University, 06530, Baglica, Ankara, Turkey;Department of Mechanical Engineering, Faculty of Engineering and Architecture, Gazi University, 06570 Maltepe, Ankara, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

In this study, a quick credibility scoring decision support system is developed for the banks to determine the credibility of manufacturing firms in Turkey. The proposed decision support system is expected to be used by the banks when they want to determine whether an applicant firm is worth a detailed credit check or not. Using such a quick credit scoring decision model reduces the banks' workload. The proposed credit scoring model is based on the financial ratios and fuzzy TOPSIS approach. It obtains two separate scores which reflect the attractiveness of manufacturing industries within the overall economy and manufacturing firms' performance with respect to its competitors belonging to the same industry. These two scores are then used to determine the credibility of applicant manufacturing firms. The developed decision support system is tested with various real cases and satisfactory results are obtained. An application is also provided in the paper for illustrative purposes.