Abstract
Health-care service quality is the core of the medical institution’s management. However, the measurement of service quality is difficult by classical measurement approaches. The fuzzy set theory can capture this difficulty through its linguistic approaches. The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been introduced by Kutlu Gündoğdu and Kahraman (2019a) and then they proposed spherical fuzzy analytic hierarchy process (SF-AHP) method. In this chapter, this method is extended to interval-valued spherical fuzzy AHP (IVSF-AHP) method and the proposed method is used to compare the service performances of several hospitals. For this purpose, the method has been designed to analyze the service quality in the health-care industry based on SERVQUAL dimensions. Additionally, we present a comparative analysis with neutrosophic AHP to show robustness and validity of the proposed method. Hospital managers can use the results of this evaluation as a basis of strategies that would ensure the quality services to patients.
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Kutlu Gündoğdu, F., Kahraman, C. (2021). Hospital Performance Assessment Using Interval-Valued Spherical Fuzzy Analytic Hierarchy Process. In: Kahraman, C., Kutlu Gündoğdu, F. (eds) Decision Making with Spherical Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-030-45461-6_15
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