Developing a fuzzy multicriteria decision-making model for selecting design-build operational variations

Bo Xia, Ping Chuen Chan, John F.Y. Yeung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

36 Citations (Scopus)

Abstract

Many academic researchers have conducted studies on the selection of a design-build (DB) delivery method; however, there are few studies on the selection of DB operational variations, which pose challenges to many clients. The selection of a DB operational variation is a multicriteria decision-making process that requires clients to objectively evaluate the performance of each DB operational variation with reference to the selection criteria. This evaluation process is often characterized by subjectivity and uncertainty. To resolve this deficiency, the current investigation aimed to establish a fuzzy multicriteria decision-making (FMCDM) model for selecting the most suitable DB operational variation. A three-round Delphi questionnaire survey was conducted to identify the selection criteria and their relative importance. A fuzzy set theory approach, namely, the modified horizontal approach with the bisector error method, was applied to establish the fuzzy membership functions, which enables clients to perform quantitative calculations on the performance of each DB operational variation. The FMCDM was developed using the weighted-mean method to aggregate the overall performance of DB operational variations with regard to the selection criteria. The proposed FMCDM model enables clients to perform quantitative calculations in a fuzzy decision-making environment and provides a useful tool to cope with different project attributes.
Original languageEnglish
Pages (from-to)1176-1184
Number of pages9
JournalJournal of Construction Engineering and Management
Volume137
Issue number12
DOIs
Publication statusPublished - 1 Dec 2011

Keywords

  • China
  • Design-build
  • Fuzzy set
  • Multicriteria decision-making

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Industrial relations
  • Strategy and Management

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