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

İÇ Y. T., YURDAKUL M.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.37, sa.1, ss.567-574, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 1
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.eswa.2009.05.038
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.567-574
  • Anahtar Kelimeler: Credit scoring, Industry scoring, Decision support system, Fuzzy TOPSIS, MODEL, SELECTION, AHP
  • Gazi Üniversitesi Adresli: Evet

Özet

In MIS 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. (C) 2009 Elsevier Ltd. All rights reserved.