{"title":"An Approach for Environmental impacts Assessment using Belief Theory","authors":"H. Omrani, L. Ion-Boussier, P. Trigano","doi":"10.1109/IS.2006.348462","DOIUrl":null,"url":null,"abstract":"A novel methodology for decision-making under uncertainty in environmental assessment of urban mobility is proposed. The problem treated is complex with insufficient, fuzzy and uncertain data. Hence, we propose to use belief theory (Dempster-Shafer theory) in order to combine the opinions of experts to evaluate the environmental impact of an ameliorative action to be carried out in the sector of transportation. First, we present urban mobility and its environmental impact. Secondly, we propose an approach and an algorithm for decision making under uncertainty in order to assess projects related to transportation to improve urban mobility. Finally a study is used to validate the proposed approach","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2006.348462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A novel methodology for decision-making under uncertainty in environmental assessment of urban mobility is proposed. The problem treated is complex with insufficient, fuzzy and uncertain data. Hence, we propose to use belief theory (Dempster-Shafer theory) in order to combine the opinions of experts to evaluate the environmental impact of an ameliorative action to be carried out in the sector of transportation. First, we present urban mobility and its environmental impact. Secondly, we propose an approach and an algorithm for decision making under uncertainty in order to assess projects related to transportation to improve urban mobility. Finally a study is used to validate the proposed approach
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