ERP software selection problem with a novel Hybrid hesitant fuzzy cross-entropy and probabilistic hesitant fuzzy MCDM approach

Akpinar I., Kececi B., Atalay K., BORAN M.

Journal of Industrial and Management Optimization, vol.21, no.9, pp.5662-5686, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 9
  • Publication Date: 2025
  • Doi Number: 10.3934/jimo.2025109
  • Journal Name: Journal of Industrial and Management Optimization
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, MathSciNet, zbMATH
  • Page Numbers: pp.5662-5686
  • Keywords: ERP software selection, hesitant fuzzy cross-entropy, hesitant fuzzy distance measures, hesitant fuzzy sets, probabilistic hesitant fuzzy COPRAS
  • Middle East Technical University Affiliated: Yes

Abstract

This paper aims to develop a novel hesitant fuzzy weighting method combined with probabilistic hesitant fuzzy COPRAS and to apply the proposed algorithm to a real-life ERP software selection problem. The proposed algorithm has two stages. First, the weights of evaluation criteria are determined via the hesitant fuzzy cross-entropy weighting method using different distance measures. Then, the ranking of alternatives is obtained by probabilistic hesitant fuzzy COPRAS. Six qualitative criteria are considered in the application, and the three alternatives are ranked using different cross-entropy and distance measures. The results are compared with those obtained from the COPRAS, fuzzy COPRAS and hesitant fuzzy COPRAS methods. The application results show that the proposed algorithm is helpful in ranking alternatives with each entropy and distance measure. As far as the authors know, no method combines probabilistic hesitant fuzzy COPRAS with hesitant fuzzy cross-entropy with various distance metrics exists.