Cargando…

A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China

The hierarchical medical treatment system is an efficient way to solve the problem of insufficient and unbalanced medical resources in China. Essentially, classifying the different degrees of diseases according to the doctor’s diagnosis is a key step in pushing forward the hierarchical medical treat...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Runtong, Xing, Yuping, Wang, Jun, Shang, Xiaopu, Zhu, Xiaomin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122084/
https://www.ncbi.nlm.nih.gov/pubmed/30103454
http://dx.doi.org/10.3390/ijerph15081718
_version_ 1783352579317563392
author Zhang, Runtong
Xing, Yuping
Wang, Jun
Shang, Xiaopu
Zhu, Xiaomin
author_facet Zhang, Runtong
Xing, Yuping
Wang, Jun
Shang, Xiaopu
Zhu, Xiaomin
author_sort Zhang, Runtong
collection PubMed
description The hierarchical medical treatment system is an efficient way to solve the problem of insufficient and unbalanced medical resources in China. Essentially, classifying the different degrees of diseases according to the doctor’s diagnosis is a key step in pushing forward the hierarchical medical treatment system. This paper proposes a framework to solve the problem where diagnosis values are given as picture fuzzy numbers (PFNs). Point operators can reduce the uncertainty of doctor’s diagnosis and get intensive information in the process of decision making, and the Choquet integral operator can consider correlations among symptoms. In order to take full advantage of these two kinds of operators, in this paper, we firstly define some point operators under the picture fuzzy environment, and further propose a new class of picture fuzzy point–Choquet integral aggregation operators. Moreover, some desirable properties of these operators are also investigated in detail. Then, a novel approach based on these operators for multiattribute decision-making problems in the picture fuzzy context is introduced. Finally, we give an example to illustrate the applicability of the new approach in assisting hierarchical medical treatment system. This is of great significance for integrating the medical resources of the whole society and improving the service efficiency of the medical service system.
format Online
Article
Text
id pubmed-6122084
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61220842018-09-07 A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China Zhang, Runtong Xing, Yuping Wang, Jun Shang, Xiaopu Zhu, Xiaomin Int J Environ Res Public Health Article The hierarchical medical treatment system is an efficient way to solve the problem of insufficient and unbalanced medical resources in China. Essentially, classifying the different degrees of diseases according to the doctor’s diagnosis is a key step in pushing forward the hierarchical medical treatment system. This paper proposes a framework to solve the problem where diagnosis values are given as picture fuzzy numbers (PFNs). Point operators can reduce the uncertainty of doctor’s diagnosis and get intensive information in the process of decision making, and the Choquet integral operator can consider correlations among symptoms. In order to take full advantage of these two kinds of operators, in this paper, we firstly define some point operators under the picture fuzzy environment, and further propose a new class of picture fuzzy point–Choquet integral aggregation operators. Moreover, some desirable properties of these operators are also investigated in detail. Then, a novel approach based on these operators for multiattribute decision-making problems in the picture fuzzy context is introduced. Finally, we give an example to illustrate the applicability of the new approach in assisting hierarchical medical treatment system. This is of great significance for integrating the medical resources of the whole society and improving the service efficiency of the medical service system. MDPI 2018-08-10 2018-08 /pmc/articles/PMC6122084/ /pubmed/30103454 http://dx.doi.org/10.3390/ijerph15081718 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Runtong
Xing, Yuping
Wang, Jun
Shang, Xiaopu
Zhu, Xiaomin
A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title_full A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title_fullStr A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title_full_unstemmed A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title_short A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China
title_sort novel multiattribute decision-making method based on point–choquet aggregation operators and its application in supporting the hierarchical medical treatment system in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122084/
https://www.ncbi.nlm.nih.gov/pubmed/30103454
http://dx.doi.org/10.3390/ijerph15081718
work_keys_str_mv AT zhangruntong anovelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT xingyuping anovelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT wangjun anovelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT shangxiaopu anovelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT zhuxiaomin anovelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT zhangruntong novelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT xingyuping novelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT wangjun novelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT shangxiaopu novelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina
AT zhuxiaomin novelmultiattributedecisionmakingmethodbasedonpointchoquetaggregationoperatorsanditsapplicationinsupportingthehierarchicalmedicaltreatmentsysteminchina