A Fuzzy Group Decision-Making Approach to Construction Project Risk Management

Author:

Kumar Manoj1

Affiliation:

1. International Engineering Services, India

Abstract

Implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. This research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. To take into account the uncertainties inherent in evaluation process, fuzzy logic is integrated into the revaluation process. To evaluate alternative response scenarios, first the collective group weight of each criterion is calculated considering opinions of a group consisted of five experts. As each expert has its own ideas, attitudes, knowledge and personalities, different experts will give their preferences in different ways. Fuzzy preference relations are used to unify the opinions of different experts. After computation of collective weights, the best alternative response scenario is selected by the use of proposed fuzzy group decision making methodology which aggregates opinions of different experts. To evaluate the performance of the proposed methodology, it is implemented in a real project and the best alternative responses scenario is selected for one of the identified risks.

Publisher

IGI Global

Reference46 articles.

1. Risk analysis in fixed-price design–build construction projects;Ö.Ahmet;Building and Environment,2003

2. Alabar, J., & Crandall, K. (2013). Systematic risk management approach for construction projects. Journal of Construction Engineering and Management, 16(3), 533-546.

3. Modelling global risk factors affecting construction cost performance

4. Ranking fuzzy numbers with maximizing set and minimizing set

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