{"title":"基于熵权的空气质量综合评价新模型","authors":"Huiqing Liu, Ling-jie Zhang","doi":"10.1109/ICAIE.2010.5641492","DOIUrl":null,"url":null,"abstract":"Air quality assessment is the basis of environmental planning, and play an important role for the environmental protection. Through combining the entropy value theory and attribute recognition model together, attribute recognition model based on entropy weight is set up and applied to evaluate comprehensively air environment quality, the problem which calculating weight coefficient is subjective can be avoided. The modeling process is demonstrated from concrete application, the outcomes from application are more reasonable and satisfactory.","PeriodicalId":216006,"journal":{"name":"2010 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An new model for air quality comprehensive assessment based on entropy weight\",\"authors\":\"Huiqing Liu, Ling-jie Zhang\",\"doi\":\"10.1109/ICAIE.2010.5641492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Air quality assessment is the basis of environmental planning, and play an important role for the environmental protection. Through combining the entropy value theory and attribute recognition model together, attribute recognition model based on entropy weight is set up and applied to evaluate comprehensively air environment quality, the problem which calculating weight coefficient is subjective can be avoided. The modeling process is demonstrated from concrete application, the outcomes from application are more reasonable and satisfactory.\",\"PeriodicalId\":216006,\"journal\":{\"name\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIE.2010.5641492\",\"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 Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE.2010.5641492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An new model for air quality comprehensive assessment based on entropy weight
Air quality assessment is the basis of environmental planning, and play an important role for the environmental protection. Through combining the entropy value theory and attribute recognition model together, attribute recognition model based on entropy weight is set up and applied to evaluate comprehensively air environment quality, the problem which calculating weight coefficient is subjective can be avoided. The modeling process is demonstrated from concrete application, the outcomes from application are more reasonable and satisfactory.