Next Article in Journal
Patterns of Physical Activity and the Risk of Coronary Heart Disease: A Pilot Study
Previous Article in Journal
Management Control Systems and Clinical Experience of Managers in Public Hospitals
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2018, 15(4), 777; https://doi.org/10.3390/ijerph15040777

An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization

1
Business School, Sichuan University, Chengdu 610064, China
2
Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain
3
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 27 March 2018 / Revised: 5 April 2018 / Accepted: 14 April 2018 / Published: 17 April 2018
(This article belongs to the Section Health Economics)
Full-Text   |   PDF [631 KB, uploaded 3 May 2018]   |  

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. View Full-Text
Keywords: intuitionistic multiplicative preference relation; ORESTE; multiple criteria decision making; correlation coefficient; patients’ prioritization; hospital management intuitionistic multiplicative preference relation; ORESTE; multiple criteria decision making; correlation coefficient; patients’ prioritization; hospital management
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, C.; Wu, X.; Wu, D.; Liao, H.; Luo, L.; Herrera-Viedma, E. An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization. Int. J. Environ. Res. Public Health 2018, 15, 777.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top