{"title":"The Application of Fuzzy Comprehensive Evaluation to Quantify Design Space","authors":"Yuping She","doi":"10.1109/WCSE.2009.48","DOIUrl":null,"url":null,"abstract":"During the conceptual phase of a building design, major design space decisions that have the greatest influence on build ability of a project are taken. Quality function deployment (QFD) is an integrated decision-making methodology that can assure and improve the alignment of elements of design and construction processes with the requirements customers. Taking the existence of uncertainty in the early design into account, we present a fuzzy comprehensive evaluation-based approach to quantify design space, and using degree of similarity (or measure of similarity) and principle of choosing nearest (or principle of selecting near) to choose the best design from the alternatives at the early phase of design.","PeriodicalId":331155,"journal":{"name":"2009 WRI World Congress on Software Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 WRI World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2009.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
During the conceptual phase of a building design, major design space decisions that have the greatest influence on build ability of a project are taken. Quality function deployment (QFD) is an integrated decision-making methodology that can assure and improve the alignment of elements of design and construction processes with the requirements customers. Taking the existence of uncertainty in the early design into account, we present a fuzzy comprehensive evaluation-based approach to quantify design space, and using degree of similarity (or measure of similarity) and principle of choosing nearest (or principle of selecting near) to choose the best design from the alternatives at the early phase of design.