{"title":"多准则群体决策环境下参保公共卫生计划下的医院选择","authors":"M. Dev, D. Kumar, R. Mor","doi":"10.30657/pea.2022.28.01","DOIUrl":null,"url":null,"abstract":"Abstract A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"1 - 11"},"PeriodicalIF":1.9000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment\",\"authors\":\"M. Dev, D. Kumar, R. Mor\",\"doi\":\"10.30657/pea.2022.28.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.\",\"PeriodicalId\":36269,\"journal\":{\"name\":\"Production Engineering Archives\",\"volume\":\"28 1\",\"pages\":\"1 - 11\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production Engineering Archives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30657/pea.2022.28.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Engineering Archives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30657/pea.2022.28.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 1
摘要
蓬勃发展的医疗保健系统完美地反映了任何地区人民的经济发展和满意度。随着人们对健康的日益担忧和医疗需求的不断增长,世界各地的医院都面临着在同一屋檐下为患者提供充足医疗设施的重大挑战。在印度这样的发展中国家,医疗行业处于脆弱的状态,医院有必要选择国际标准,并遵守该国其他主要医疗中心的标准。本文旨在利用直觉模糊(IF)和TOPSIS方法,根据群体决策中不协调和冲突的标准对医院进行选择。所使用的标准与印度政府名为Ayushman Bharat-National health Protection scheme (AB-NHPS)的公共卫生保险计划相一致。对于每一个可选的欧几里得距离,已经被用来计算与理想溶液的正、负分离度量。与理想溶液的相对接近程度被用来对医院进行排名。结果是一份根据制定的标准从最好到最差的医院名单。它可以帮助管理机构在具有多个复杂标准的不确定环境下进行决策分析。
Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment
Abstract A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.