{"title":"面向可持续发展的电厂环境影响分析","authors":"D. Vatau, F. Alexa, A. Craciunescu, R. Teslovan","doi":"10.1109/SACI.2011.5873073","DOIUrl":null,"url":null,"abstract":"The paper presents a fuzzy model analysis of environment power plant impact. The model, called symbolic “EFIM” uses as input data environmental indices. The fuzzy logic is used to provide measures leading to reduced environmental impact within the context of sustainable development. The components of the fuzzy model and its advantages are also presented in the paper.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sustainable development oriented power plant environmental impact analysis\",\"authors\":\"D. Vatau, F. Alexa, A. Craciunescu, R. Teslovan\",\"doi\":\"10.1109/SACI.2011.5873073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a fuzzy model analysis of environment power plant impact. The model, called symbolic “EFIM” uses as input data environmental indices. The fuzzy logic is used to provide measures leading to reduced environmental impact within the context of sustainable development. The components of the fuzzy model and its advantages are also presented in the paper.\",\"PeriodicalId\":334381,\"journal\":{\"name\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2011.5873073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2011.5873073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sustainable development oriented power plant environmental impact analysis
The paper presents a fuzzy model analysis of environment power plant impact. The model, called symbolic “EFIM” uses as input data environmental indices. The fuzzy logic is used to provide measures leading to reduced environmental impact within the context of sustainable development. The components of the fuzzy model and its advantages are also presented in the paper.