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Al-Humaidi, H M (2016) Construction Projects Bid or Not Bid Approach Using the Fuzzy Technique for Order Preference by Similarity FTOPSIS Method. Journal of Construction Engineering and Management, 142(12).

  • Type: Journal Article
  • Keywords: Fuzzy logic; Fuzzy set; Project selection; Multiple attribute decision making; Fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001180
  • Abstract:
    This paper discusses selection of construction projects based on multiple criteria using a quantitative fuzzy-set method, which considers multiple attributes in a decision-making process involving a group of decision makers. This approach implements a modified fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to help decision makers rank projects based on various attributes. A triangular fuzzy set models linguistic terms used to provide subjective judgment related to decision makers’ experience level, attribute weight assessment, and attribute rating. The fuzzy TOPSIS method is extended in this research to capture various levels of experience for decision makers involved in a decision to select a construction project. An illustrative example of project selection using the proposed method is provided to demonstrate its effectiveness. The computational results of this research provide project stakeholders with a computer model that could be implemented to assist in the construction project bid or not bid decision and provide a ranking of different projects to bid on. Furthermore, the results of this study show that the proposed method is suitable for modeling the uncertainty associated with project selection. The bid/no bid project selection model presented in this study is based on a set of common attributes; the selection of attributes that contribute toward the project bid or not bid decision can be different based on construction project conditions. The proposed method is suitable for construction type projects, but the methodology used in the study can be implemented for any type of project and is not limited to a specific geographic area. The proposed computer model is limited to handling input from up to 10 decision makers with varying degrees of experience. Another limitation of the computer model introduced in this study is that contractors can consider up to five different projects for bid purposes.

Bhaumik, P K (2016) Developing and Using a New Family of Project S-Curves Using Early and Late Shape Parameters. Journal of Construction Engineering and Management, 142(12).

Cheng, E W L (2016) Intentions to Form Project Partnering in Hong Kong: Application of the Theory of Planned Behavior. Journal of Construction Engineering and Management, 142(12).

Choi, Y S, Lim, I, Kim, T, Cho, H and Kang, K (2016) Case Study of the Core Structure Succeeding Method for Tall Building Construction. Journal of Construction Engineering and Management, 142(12).

Chong, D, Wang, Y, Chen, L and Yu, B (2016) Modeling and Validation of Energy Consumption in Asphalt Mixture Production. Journal of Construction Engineering and Management, 142(12).

Doan, D T and Chinda, T (2016) Modeling Construction and Demolition Waste Recycling Program in Bangkok: Benefit and Cost Analysis. Journal of Construction Engineering and Management, 142(12).

Elbarkouky, M M G, Fayek, A R, Siraj, N B and Sadeghi, N (2016) Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency. Journal of Construction Engineering and Management, 142(12).

Firouzi, A, Yang, W and Li, C (2016) Prediction of Total Cost of Construction Project with Dependent Cost Items. Journal of Construction Engineering and Management, 142(12).

Hassan, M E, Kandil, A, Senouci, A and Al-Derham, H (2016) Organizational Behavior Attributes and Sustainable Construction Adoption: An Econometric Analysis Using Data from Qatar. Journal of Construction Engineering and Management, 142(12).

Hyari, K H, Tarawneh, Z S and Katkhuda, H N (2016) Detection Model for Unbalanced Pricing in Construction Projects: A Risk-Based Approach. Journal of Construction Engineering and Management, 142(12).

Li, S, Cai, H and Kamat, V R (2016) Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking. Journal of Construction Engineering and Management, 142(12).

M. Said, H M and Lucko, G (2016) Float Types in Construction Spatial Scheduling. Journal of Construction Engineering and Management, 142(12).

Namian, M, Albert, A, Zuluaga, C M and Behm, M (2016) Role of Safety Training: Impact on Hazard Recognition and Safety Risk Perception. Journal of Construction Engineering and Management, 142(12).

Patel, D A, Kikani, K D and Jha, K N (2016) Hazard Assessment Using Consistent Fuzzy Preference Relations Approach. Journal of Construction Engineering and Management, 142(12).

Pishdad-Bozorgi, P, de la Garza, J M and Austin, R B (2016) Readiness Assessment for Flash Tracking. Journal of Construction Engineering and Management, 142(12).

Sadeghi, N, Fayek, A R and Gerami Seresht, N (2016) A Fuzzy Discrete Event Simulation Framework for Construction Applications: Improving the Simulation Time Advancement. Journal of Construction Engineering and Management, 142(12).