{"title":"运用模糊系统整合健康与环境评分的建议:以巴西为例","authors":"D. Canavese, N. Ortega","doi":"10.2991/eusflat.2011.75","DOIUrl":null,"url":null,"abstract":"The growth of cities, climate change, biomes degradation, disease and social issues influence the views of life quality and health of populations. The characteristics of health and environment are usually measured with different and disconnected indicators. However, the importance of working with those two aspects in a joined way is every time larger. In this paper it is presented a fuzzy rule-based system to aggregate measures of population health and environment in order to produce an integrate index. This fuzzy index was applied to all states of Brazil and the results were in agreement with the expected.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A proposal of using fuzzy system to integrate scores of Health and Environment: a case study at Brazil\",\"authors\":\"D. Canavese, N. Ortega\",\"doi\":\"10.2991/eusflat.2011.75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growth of cities, climate change, biomes degradation, disease and social issues influence the views of life quality and health of populations. The characteristics of health and environment are usually measured with different and disconnected indicators. However, the importance of working with those two aspects in a joined way is every time larger. In this paper it is presented a fuzzy rule-based system to aggregate measures of population health and environment in order to produce an integrate index. This fuzzy index was applied to all states of Brazil and the results were in agreement with the expected.\",\"PeriodicalId\":403191,\"journal\":{\"name\":\"EUSFLAT Conf.\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUSFLAT Conf.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/eusflat.2011.75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUSFLAT Conf.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/eusflat.2011.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A proposal of using fuzzy system to integrate scores of Health and Environment: a case study at Brazil
The growth of cities, climate change, biomes degradation, disease and social issues influence the views of life quality and health of populations. The characteristics of health and environment are usually measured with different and disconnected indicators. However, the importance of working with those two aspects in a joined way is every time larger. In this paper it is presented a fuzzy rule-based system to aggregate measures of population health and environment in order to produce an integrate index. This fuzzy index was applied to all states of Brazil and the results were in agreement with the expected.