Huang Haihong, Liu Guangfu, L. Zhifeng, Hongchao Zhang
{"title":"Research on Decision-making Method for Green Design based on Green Utility Similarity","authors":"Huang Haihong, Liu Guangfu, L. Zhifeng, Hongchao Zhang","doi":"10.1109/ISEE.2007.369393","DOIUrl":null,"url":null,"abstract":"It is a global tendency for manufac- hirers to be concerned about the environment, which leads to the appearance of Green Design. There exist many complicated multi-objective and multi-criteria decision making problems in the Green Design process. The framework to illustrate these problems is presented. Based on TOPSIS, the modified new method called Green Utility Similarity (GUS) is demonstrated to solve the decision-making problems. The Green Utility Similarity method incorporates the non-linear normalization different from the commonly used linear method. The case study of air-conditioner green design alternatives selection, with both GUS method and TOPSIS, shows that GUS method is feasible and effective.","PeriodicalId":275164,"journal":{"name":"Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment","volume":"372 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEE.2007.369393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
It is a global tendency for manufac- hirers to be concerned about the environment, which leads to the appearance of Green Design. There exist many complicated multi-objective and multi-criteria decision making problems in the Green Design process. The framework to illustrate these problems is presented. Based on TOPSIS, the modified new method called Green Utility Similarity (GUS) is demonstrated to solve the decision-making problems. The Green Utility Similarity method incorporates the non-linear normalization different from the commonly used linear method. The case study of air-conditioner green design alternatives selection, with both GUS method and TOPSIS, shows that GUS method is feasible and effective.