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.
Original language | English |
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Title of host publication | Studies in Fuzziness and Soft Computing |
Publisher | Springer |
Pages | 349-373 |
Number of pages | 25 |
DOIs | |
Publication status | Published - 2021 |
Publication series
Name | Studies in Fuzziness and Soft Computing |
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Volume | 392 |
ISSN (Print) | 1434-9922 |
ISSN (Electronic) | 1860-0808 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- Hospital performance evaluation
- Interval-valued spherical fuzzy AHP
- Interval-valued spherical fuzzy sets
- Neutrosophic AHP
- Spherical fuzzy sets