2018
DOI: 10.1080/15623599.2018.1452098
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Review of application of analytic hierarchy process (AHP) in construction

Abstract: The analytic hierarchy process (AHP) has gained increasing attention in construction management (CM) domain as a technique to analyze complex situations and make sound decisions. However, AHP per se or its potential applications on CM problems are ill-defined within extant literature. The present paper reviews 77 AHP-based papers published in eight selected peer-reviewed CM journals from 2004 to 2014 to better define and delineate AHP application areas and decision-making problems solved within CM. The finding… Show more

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Cited by 364 publications
(278 citation statements)
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“…Decision makers often face situations of making multiple choice decisions on various issues (Darko et al, 2019). In these cases, it is possible to utilize Multi-Criteria Decision-Making (MCDM) techniques.…”
Section: Ahpmentioning
confidence: 99%
See 3 more Smart Citations
“…Decision makers often face situations of making multiple choice decisions on various issues (Darko et al, 2019). In these cases, it is possible to utilize Multi-Criteria Decision-Making (MCDM) techniques.…”
Section: Ahpmentioning
confidence: 99%
“…Advanced by Saaty, AHP represents a popular MCDM method which has drawn attention among all industries in the last 20 years (Darko et al, 2019). AHP, has been developed in order to overcome complex and multi-criteria decision-making problems, and is based on its developer Saaty's experiences while conducting research projects at the USA Arms Control and Disarmament Agency.…”
Section: Ahpmentioning
confidence: 99%
See 2 more Smart Citations
“…This model consequently is a method of making a decision by grouping the criteria with a systematic approach based on human perception. The outline of this method has three steps: 1) determining the hierarchy, which is made from a "based on the purpose" structure; 2) pairwise comparison between criteria to another criterion; and 3) verification of the consistency of the weighted value (Darko et al 2018).…”
Section: Introductionmentioning
confidence: 99%