Analysis of experts’ psychological behaviors under risk with Pythagorean fuzzy sets and Todim method in terms of balanced scorecard: An example of factoring and financial leasing companies

Demir E., KARAMAŞA Ç.

Journal of Multiple-Valued Logic and Soft Computing, cilt.35, sa.1-2, ss.125-145, 2020 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 1-2
  • Basım Tarihi: 2020
  • Dergi Adı: Journal of Multiple-Valued Logic and Soft Computing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, zbMATH
  • Sayfa Sayıları: ss.125-145
  • Anahtar Kelimeler: Balanced scorecard, Factoring and financial leasing, Intervalued pythagorean fuzzy AHP, Pythagorean fuzzy sets, Pythagorean fuzzy TODIM
  • Anadolu Üniversitesi Adresli: Evet

Özet

©2020 Old City Publishing, Inc.The Balanced Scorecard presents solutions for the problems that result from the failures in strategic management and the inefficacy of traditional performance management systems that fall behind the information age competitive environment, which is driving businesses more and more. Performance of 7 factoring and financial leasing firms traded in the stock exchange of Istanbul (BIST) is evaluated in terms of a balanced scorecard viewpoint by considering 4 main criteria in this study. Pythagorean fuzzy sets are used in order to better explain decision-makers’ views under a vague environment. Then TODIM approach and Pythagorean Fuzzy AHP used for decision-makers’ risky psychological behaviors are applied for ranking firms. Economic loyalty sub-criterion has the most important criterion weight with interval-valued Pythagorean fuzzy AHP. And learning and growth criterion has found the the least important criterion with the same method. Then, factoring and financial leasing companies were sorted by the methodology of the TODIM approach and Pythagorean Fuzzy AHP. Furthermore, this methods show that 91% of Spearman’s rank correlation coefficient. Finally, a sensitivity analysis was conducted.