{"title":"Life Cycle Consulting of Engineering Construction Risk Evaluation Based Intuitionistic Fuzzy Sets and Euclidean Similarity","authors":"Hongliang Yu, Hao Xu, Fuxiang Cong","doi":"10.12783/dtcse/cisnr2020/35172","DOIUrl":null,"url":null,"abstract":"This paper studies life cycle consulting of engineering construction risk. Firstly build a risk evaluation hierarchy for the life cycle consulting of engineering construction risk, and then transform expert evaluation information into intuitionistic fuzzy sets to form an evaluation matrix, use intuitionistic fuzzy entropy to describe the degree of fuzziness of expert information and determine the criterion weight; then use Euclidean distance to determine the similarity of expert information The expert weight is determined by combining the degree of hesitation with the degree of hesitation, and the score function is used to determine the comprehensive score value of each risk factor, and the risk factor is predicted accordingly.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtcse/cisnr2020/35172","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
This paper studies life cycle consulting of engineering construction risk. Firstly build a risk evaluation hierarchy for the life cycle consulting of engineering construction risk, and then transform expert evaluation information into intuitionistic fuzzy sets to form an evaluation matrix, use intuitionistic fuzzy entropy to describe the degree of fuzziness of expert information and determine the criterion weight; then use Euclidean distance to determine the similarity of expert information The expert weight is determined by combining the degree of hesitation with the degree of hesitation, and the score function is used to determine the comprehensive score value of each risk factor, and the risk factor is predicted accordingly.
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