Affiliations: [a] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| [b]
Economics and Management School of Nantong University, Nantong, China
| [c] Department of Medical Humanities, Nantong University, Nantong, China
Correspondence:
[*]
Corresponding author. Yun Fan, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. E-mail: fanyun@ntu.edu.cn.
Abstract: The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.
Keywords: Nursing home site, site selection, grey analytic hierarchy process, fuzzy analytic hierarchy process, interval grey number
