| Title of paper:
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Performance measurement using intuitionistic fuzzy sets: A case study from debt collection centers
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| Author(s):
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| Başar Öztayşi
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| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
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| oztaysib@itu.edu.tr
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| Selçuk Çebi
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| Department of Industrial Engineering, Yildiz Technical University, Beşiktaş 34349, Türkiye
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| scebi@yildiz.edu.tr
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| Cengiz Kahraman
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| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
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| kahramanc@yildiz.edu.tr
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| Sezi Çevik Onar
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| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
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| cevikse@itu.edu.tr
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| Presented at:
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Proceedings of the 27th International Conference on Intuitionistic Fuzzy Sets, 5–6 July 2024, Burgas, Bulgaria
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 2, pages 121–130
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| DOI:
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https://doi.org/10.7546/nifs.2024.30.2.121-130
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| Download:
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 PDF (1027 Kb, File info)
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| Abstract:
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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.
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| Keywords:
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Performance measurement, Debt collection, Intuitionistic fuzzy sets, Analytic hierarchy process.
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| AMS Classification:
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03E72.
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| References:
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