| Title of paper:
|
Performance measurement using intuitionistic fuzzy sets: A case study from debt collection centers
|
| Author(s):
|
| Başar Öztayşi
|
| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
|
| oztaysib@itu.edu.tr
|
| Selçuk Çebi
|
| Department of Industrial Engineering, Yildiz Technical University, Beşiktaş 34349, Türkiye
|
| scebi@yildiz.edu.tr
|
| Cengiz Kahraman
|
| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
|
| kahramanc@yildiz.edu.tr
|
| Sezi Çevik Onar
|
| Department of Industrial Engineering, Istanbul Technical University, Beşiktaş 34349, Türkiye
|
| cevikse@itu.edu.tr
|
|
| Presented at:
|
Proceedings of the 27th International Conference on Intuitionistic Fuzzy Sets, 5–6 July 2024, Burgas, Bulgaria
|
| Published in:
|
Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 2, pages 121–130
|
| DOI:
|
https://doi.org/10.7546/nifs.2024.30.2.121-130
|
| Download:
|
 PDF (1027 Kb, Info)
|
| 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.
|
| Keywords:
|
Performance measurement, Debt collection, Intuitionistic fuzzy sets, Analytic hierarchy process.
|
| AMS Classification:
|
03E72.
|
| References:
|
- Çevik Onar, S., Öztayşi, B., & Kahraman, C. (2018). A fuzzy rule based inference system for early debt collection. Technological and Economic Development of Economy, 24(5), 1845–1865.
- Çevik Onar, S., Öztayşi, B., Kahraman, C., & Ozturk, E. (2020). Evaluation of legal debt collection services by using Hesitant Pythagorean (Intuitionistic Type 2) fuzzy AHP. Journal of Intelligent & Fuzzy Systems, 38(1), 883–894.
- Çevik Onar, S., Öztayşi, B., Otay, İ., & Kahraman, C. (2015). Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy, 90, 274–285.
- Estrella, F. J., Çevik Onar, S., Rodriguez, R. M., Öztayşi, B., & Martinez, L. (2017). Selecting firms in university technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts. Journal of Intelligent and Fuzzy Systems, 33(2), 1155–1172.
- Folan, P., Browne, J., & Jagdev, H. (2007). Performance: Its meaning and content for today’s business research. Computers in Industry, 58(7), 605–620.
- Kahraman, C., Çevik Onar, S., & Öztayşi, B. (2016). A comparison of wind energy investment alternatives using interval-valued intuitionistic fuzzy benefit/cost analysis. Sustainability, 8(2), Article ID 118.
- Kahraman, C., Çevik Onar, S., & Öztayşi, B. (2017). Extension of information axiom from ordinary to intuitionistic fuzzy sets: An application to search algorithm selection. Computers and Industrial Engineering, 105, 348–361.
- Kahraman, C., Çevik Onar, S., & Öztayşi, B. (2018). A novel trapezoidal intuitionistic fuzzy information axiom approach: An application to multicriteria landfill site selection. Engineering Applications of Artificial Intelligence, 67, 157–172.
- Lebas, M. J. (1995). Performance measurement and performance management. International Journal of Production Economics, 41(1–3), 23–35.
- Meyer, M. W. (2002), Rethinking Performance Measurement: Beyond the Balanced Scorecard. Cambridge University Press, Nima A, New York.
- Öztayşi, B., Çevik Onar, S., Kahraman, C., & Gok, M. (2020). Call center performance measurement using intuitionistic fuzzy sets. Journal of Enterprise Information Management, 33(6), 1647–1668.
- Öztayşi, B., Çevik Onar, S., Kahraman, C., & Yavuz, M. (2017). Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. Transportation Research Part D: Transport and Environment, 53, 128–148.
- Taneta-Skwiercz, D. (2018). Wskaźniki pomiaru zrównoważonego rozwoju – Polska na tle krajów Unii Europejskiej. Prace Naukowe Uniwersytetu Ekonomicznego We Wrocławiu, 516, 121–132.
- Xu, Z., & Cai, X. (2009). Incomplete interval-valued intuitionistic fuzzy preference relations. International Journal of General Systems, 38(8), 871–886.
|
| Citations:
|
The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.
|
|
