{"title":"区域工业企业可持续发展评价研究","authors":"Yuan Qinghe, Hou Yanhui, W. Xinhua","doi":"10.1109/ICIEEM.2009.5344228","DOIUrl":null,"url":null,"abstract":"Assessment of sustainable development of regional industry enterprises is an important content of regional sustainable development study. Based on the principles of establishing assessment index system of sustainable development of regional industrial enterprises, an index system including four-layer and 56 indicators was established, the membership function model of quantitative indexes and the choosing value standards of qualitative indexes were discussed. Based on the learning mechanism of BP neural network, the weight of each index and each layer were ultimately determined. In the end, the fuzzy comprehensive evaluation method of comprehensive assessment and a practical verifying example were given. This study can provide scientific basis for working out strategy of sustainable development of regional industrial enterprises.","PeriodicalId":6326,"journal":{"name":"2009 16th International Conference on Industrial Engineering and Engineering Management","volume":"57 1","pages":"2146-2153"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on assessment of the sustainable development of regional industrial enterprises\",\"authors\":\"Yuan Qinghe, Hou Yanhui, W. Xinhua\",\"doi\":\"10.1109/ICIEEM.2009.5344228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Assessment of sustainable development of regional industry enterprises is an important content of regional sustainable development study. Based on the principles of establishing assessment index system of sustainable development of regional industrial enterprises, an index system including four-layer and 56 indicators was established, the membership function model of quantitative indexes and the choosing value standards of qualitative indexes were discussed. Based on the learning mechanism of BP neural network, the weight of each index and each layer were ultimately determined. In the end, the fuzzy comprehensive evaluation method of comprehensive assessment and a practical verifying example were given. This study can provide scientific basis for working out strategy of sustainable development of regional industrial enterprises.\",\"PeriodicalId\":6326,\"journal\":{\"name\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"57 1\",\"pages\":\"2146-2153\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEEM.2009.5344228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEEM.2009.5344228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on assessment of the sustainable development of regional industrial enterprises
Assessment of sustainable development of regional industry enterprises is an important content of regional sustainable development study. Based on the principles of establishing assessment index system of sustainable development of regional industrial enterprises, an index system including four-layer and 56 indicators was established, the membership function model of quantitative indexes and the choosing value standards of qualitative indexes were discussed. Based on the learning mechanism of BP neural network, the weight of each index and each layer were ultimately determined. In the end, the fuzzy comprehensive evaluation method of comprehensive assessment and a practical verifying example were given. This study can provide scientific basis for working out strategy of sustainable development of regional industrial enterprises.
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