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Performance Measurement of Insurance Company Software Groups by Using Fuzzy-AHP and ELECTRE Method

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Science, Engineering Management and Information Technology (SEMIT 2022)

Abstract

Measuring employee performance is critical to improving production and service processes in enterprises. However, as with all other abstract concepts, performance measurement has a complex process. Different approaches are used in the literature for performance measurement. One of these methods is Multi-Criteria Decision Making (MCDM). The MCDM aims to select the best alternatives by simultaneously evaluating the criteria. In addition, one or more decision-makers in the MCDM may be involved in the decision-making process at the same time. For these reasons, a Fuzzy-MCDM method is proposed for the performance evaluation of project groups operating in the software sector. The application part of the study aimed to determine the best-performing team among four software project groups working in an insurance company, combining the Fuzzy-Analytic Hierarchy Process (F-AHP) and Elimination and Choice Translating Reality (ELECTRE) methods. Each group comprises five software engineers who are experts in their field. In the first stage, the main criteria and sub-criteria that impact performance most were determined. Then, the weights of the criteria were determined by the F-AHP method. Finally, with the ELECTRE method, the performance ranking of the software groups was made.

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Correspondence to Yavuz Selim Özdemir .

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Ansen, E., Özdemir, Y.S. (2023). Performance Measurement of Insurance Company Software Groups by Using Fuzzy-AHP and ELECTRE Method. In: Mirzazadeh, A., Erdebilli, B., Babaee Tirkolaee, E., Weber, GW., Kar, A.K. (eds) Science, Engineering Management and Information Technology. SEMIT 2022. Communications in Computer and Information Science, vol 1808. Springer, Cham. https://doi.org/10.1007/978-3-031-40395-8_25

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  • DOI: https://doi.org/10.1007/978-3-031-40395-8_25

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