An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization

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.

An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges

“…First, weak rankings are generated and then they are improved to global rankings. The outcomes are not a single ranking but in the form of preference, indifference, and incomparability correlations of alternatives [120] . For integration of subordinate rankings of MULTIMOORA using ORESTE, a decision matrix of the rankings is first constructed [59] .…”

Assessing the Performance of Green Mines via a Hesitant Fuzzy ORESTE–QUALIFLEX Method

“…ORESTE is another useful evaluation strategy [36]. The method, which is different from the abovementioned MCDM approaches, was first proposed by Roubens [37] to deal with computer selection problems.…”

Decision Support System Selecting The Best Skincare Using The Oreste Method

“…One solution that can be used to overcome the problem of choosing skincare products is the ORESTE method. ORESTE is a general ranking method for handling MCDM problems with qualitative information (Zhang et al, 2018). The ORESTE method is a method that can overcome a problem in a selection, where this method is a method of developing a Decision Support System where the development of Multi Attribute Decision Making (MADM), and in obtaining a ranking of alternatives in a selection, then it is done first ranking in a criterion or adopting the Besson Rank (Lubis et al, 2020).…”