This paper focuses on the comparison of two AHP approaches by investigating factor weights through a previous real case study.

The way to measure the weight of decision factors has been a critical matter in construction engineering and management for a long period since many construction problems usually require the consideration of multiple factors at the same time and rely on subjective judgments made by experts.

For that reason, the analytic hierarchy process (AHP) method has been widely used in decision-making situations where multiple factors have to be considered simultaneously. It has been known that the AHP is suitable for supporting decision-makers that deal with a number of factors.

Recently, a derivative of the AHP, called the fuzzy AHP, has been utilized by combining the principles of the AHP with a fuzzy set theory. This new approach increasingly receives more attention in construction management research.

But, a research has been rarely conducted regarding the comparability of calculated priority weights by the new approach, fuzzy AHP, with those by the traditional AHP. As such, this study mainly focuses on the comparison of two AHP approaches by investigating factor weights through a previous real case study. Different types of fuzzy AHP methods were created and tested to generate results.



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