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Article type: Research Article
Authors: Zhang, Huaigea | Bai, Xuyangb | Hong, Xianpeia; *
Affiliations: [a] School of Business Administration, Guangdong University of Finance & Economics, Guangzhou, China | [b] College of Economics and Management, Xidian University, Xi’an, China
Correspondence: [*] Corresponding author. Xianpei Hong, School of Business Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China. E-mail: hskming@163.com.
Abstract: With the rise in the global aging population, selecting sites for nursing homes for old-age care has become critical and challenging. The site selection of a nursing home can be considered as a multicriteria decision-making. Because of the increasing complexity and uncertainty of the socioeconomic environment, standard assessments cannot handle this multicriteria decision-making. Therefore, this study provides a multi-criteria decision-making method based on Interval 2 Fuzzy Sets (IT2FS). It obtains comprehensive weights through the AHP method and the CRITIC method. Compared with the traditional TOPSIS, the improved TOPSIS method reduces the difference between the evaluation results. This method is suitable for the site selection of nursing homes in a certain area. We use the data of nursing homes to show the application of these methods. By comparing with traditional methods, we find that the integrated approach can consider more uncertainties.
Keywords: Multicriteria decision-making, nursing home, site selection, interval type-2 fuzzy sets, AHP method, improved TOPSIS method
DOI: 10.3233/JIFS-212010
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3789-3804, 2022
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