Performance measurement using intuitionistic fuzzy sets: A case study from debt collection centers


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Öztayşi B., ÇEBİ S., Kahraman C., Onar S. Ç.

Notes on Intuitionistic Fuzzy Sets, vol.30, no.2, pp.121-130, 2024 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 30 Issue: 2
  • Publication Date: 2024
  • Doi Number: 10.7546/nifs.2024.30.2.121-130
  • Journal Name: Notes on Intuitionistic Fuzzy Sets
  • Journal Indexes: Scopus
  • Page Numbers: pp.121-130
  • Keywords: Analytic hierarchy process, Debt collection, Intuitionistic fuzzy sets, Performance measurement
  • Open Archive Collection: Article
  • Azerbaijan State University of Economics (UNEC) Affiliated: No

Abstract

Performance measurement (PM) is a vital aspect of management, conducted periodically to assess the success or quality of a specific process or an organization. Performance encompasses both goals and relational models crucial for achieving those goals within a given time frame. From another perspective, performance measurement is about determining related performance indicators and providing a numerical summarized result which can be used for comparisons. Converting various indicators to an overall performance score can be modeled as a multi-criteria decision making problem. In this study, we focus on performance measurement of debt collection centers which are organizations specialized in collecting money from debtors. To this end, a decision model is developed and intuitionistic fuzzy Analytic Hierarchy Process is used to obtain the criteria weights. The proposed framework is shown in a real-world case study.