{"title":"基于熵权的大气环境质量模糊综合评价","authors":"H. Dai, Chenghua Shi, Xiaojing Zhou","doi":"10.1109/EDT.2010.5496543","DOIUrl":null,"url":null,"abstract":"Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors useing information entropy. The differences of determining weights using Entropy method and the method of over standard with weight was compared in the weight calculation of evaluating indicators by using the fuzzy mathematics through using the atmosphere monitoring datas of 10 monitoring points in the city of Changchun. The results showed that when the evaluation involves a number of evaluation objects using this method was very convenient for fuzzy synthetic evaluation. Only one calculation was enough and it need not to calculate every monitoring point. This method predigested the fuzzy synthetic evaluation process greatly and the evaluation results were objective and reasonable.","PeriodicalId":325767,"journal":{"name":"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy synthetic evaluation of atmospheric environment quality based on entropy weight\",\"authors\":\"H. Dai, Chenghua Shi, Xiaojing Zhou\",\"doi\":\"10.1109/EDT.2010.5496543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors useing information entropy. The differences of determining weights using Entropy method and the method of over standard with weight was compared in the weight calculation of evaluating indicators by using the fuzzy mathematics through using the atmosphere monitoring datas of 10 monitoring points in the city of Changchun. The results showed that when the evaluation involves a number of evaluation objects using this method was very convenient for fuzzy synthetic evaluation. Only one calculation was enough and it need not to calculate every monitoring point. This method predigested the fuzzy synthetic evaluation process greatly and the evaluation results were objective and reasonable.\",\"PeriodicalId\":325767,\"journal\":{\"name\":\"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)\",\"volume\":\"160 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDT.2010.5496543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDT.2010.5496543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy synthetic evaluation of atmospheric environment quality based on entropy weight
Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors useing information entropy. The differences of determining weights using Entropy method and the method of over standard with weight was compared in the weight calculation of evaluating indicators by using the fuzzy mathematics through using the atmosphere monitoring datas of 10 monitoring points in the city of Changchun. The results showed that when the evaluation involves a number of evaluation objects using this method was very convenient for fuzzy synthetic evaluation. Only one calculation was enough and it need not to calculate every monitoring point. This method predigested the fuzzy synthetic evaluation process greatly and the evaluation results were objective and reasonable.