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dc.contributor.authorZhang, Cheng
dc.contributor.authorWu, Xingli
dc.contributor.authorWu, Di
dc.contributor.authorLiao, Huchang
dc.contributor.authorLuo, Li
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2019-03-26T19:51:36Z
dc.date.available2019-03-26T19:51:36Z
dc.date.issued2018-04-17
dc.identifier.citationZhang, C. [et al.]. An Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalization. Int. J. Environ. Res. Public Health 2018, 15, 777.es_ES
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/10481/55210
dc.description.abstractThe 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.es_ES
dc.description.sponsorshipThe work was supported by the National Natural Science Foundation of China (71501135, 71771156, 71532007), the Scientific Research Foundation for Excellent Young Scholars at Sichuan University (No. 2016SCU04A23), and the Grant from the FEDER funds (No. TIN2016-75850-R).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectIntuitionistic multiplicative preference relationes_ES
dc.subjectORESTEes_ES
dc.subjectMultiple criteria decision making es_ES
dc.subjectCorrelation coefficientes_ES
dc.subjectPatients’ prioritizationes_ES
dc.subjectHospital managementes_ES
dc.titleAn Intuitionistic Multiplicative ORESTE Method for Patients’ Prioritization of Hospitalizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España