An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization

Cheng Zhang, Xingli Wu, Di Wu, Huchang Liao, Li Luo and Enrique Herrera-Viedma
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Cheng Zhang: Business School, Sichuan University, Chengdu 610064, China
Xingli Wu: Business School, Sichuan University, Chengdu 610064, China
Di Wu: Business School, Sichuan University, Chengdu 610064, China
Huchang Liao: Business School, Sichuan University, Chengdu 610064, China
Li Luo: Business School, Sichuan University, Chengdu 610064, China
Enrique Herrera-Viedma: Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain

IJERPH, 2018, vol. 15, issue 4, 1-18

Abstract: The tension brought about by sickbeds is a common and intractable issue in public hospitals in China due to the large population. Assigning the order of hospitalization of patients is difficult because of complex patient information such as disease type, emergency degree, and severity. It is critical to rank the patients taking full account of various factors. However, most of the evaluation criteria for hospitalization are qualitative, and the classical ranking method cannot derive the detailed relations between patients based on these criteria. Motivated by this, a comprehensive multiple criteria decision making method named the intuitionistic multiplicative ORESTE (organísation, rangement et Synthèse dedonnées relarionnelles, in French) was proposed to handle the problem. The subjective and objective weights of criteria were considered in the proposed method. To do so, first, considering the vagueness of human perceptions towards the alternatives, an intuitionistic multiplicative preference relation model is applied to represent the experts’ preferences over the pairwise alternatives with respect to the predetermined criteria. Then, a correlation coefficient-based weight determining method is developed to derive the objective weights of criteria. This method can overcome the biased results caused by highly-related criteria. Afterwards, we improved the general ranking method, ORESTE, by introducing a new score function which considers both the subjective and objective weights of criteria. An intuitionistic multiplicative ORESTE method was then developed and further highlighted by a case study concerning the patients’ prioritization.

Keywords: intuitionistic multiplicative preference relation; ORESTE; multiple criteria decision making; correlation coefficient; patients’ prioritization; hospital management (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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