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Improved AHP Method and Its Application in Risk Identification
- Source :
- Journal of Construction Engineering and Management. 139:312-320
- Publication Year :
- 2013
- Publisher :
- American Society of Civil Engineers (ASCE), 2013.
-
Abstract
- The analytic hierarchy process (AHP) approach has been widely used in multicriteria decision making (MCDM). It is very difficult to meet the consistency requirement of a comparison matrix (CM) in AHP. The authors analyze the reasons for inconsistent CM in AHP and propose an improved AHP (IAHP) to improve CM consistency by using a sorting and ranking methodology. The results of comparing AHP with IAHP by MATLAB simulation show that IAHP is more suitable for solving MCDM problems when the number of elements or factors is 5 or more in MCDM. A case study is presented to illustrate the performance of IAHP when applied to risk iden- tification during an open-cut subway construction. The application results show that IAHP is superior to AHP in terms of CM consistency, information extraction effectiveness, and convenience in practical implementation. DOI: 10.1061/(ASCE)CO.1943-7862.0000605. © 2013 American Society of Civil Engineers. CE Database subject headings: Risk management; Construction management; Statistics. Author keywords: Risk identification; Analytic hierarchy process (AHP); Improved analytic hierarchy process; Construction management; Quantitative analysis; Statistical analysis.
- Subjects :
- Construction management
Engineering
business.industry
Strategy and Management
Analytic network process
Sorting
Analytic hierarchy process
Building and Construction
Multiple-criteria decision analysis
Reliability engineering
Consistency (database systems)
Ranking
Industrial relations
business
Risk management
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19437862 and 07339364
- Volume :
- 139
- Database :
- OpenAIRE
- Journal :
- Journal of Construction Engineering and Management
- Accession number :
- edsair.doi...........f5afc3016f60335ccaa36b9d040a914e
- Full Text :
- https://doi.org/10.1061/(asce)co.1943-7862.0000605