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): 04016068, ISSN 0733-9364
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | contracting; fuzzy logic; fuzzy set; topsis method; multiple attribute decision making; project selection |
| Index terms: | project stakeholder, decision-making, methodology, construction project, bid/no-bid, preference, effectiveness, project selection, modelling, judgment, fuzzy logic, fuzzy set, fuzzy topsis, decision-making process, topsis |
| Subjects: | bidding, data science, analytical methods, value management, dispute resolution, sociology, decision analysis, decision-making and optimization, decision-making and reasoning, research methods, performance management, production management |
| Topics: | Stakeholder Management, Risk Management, Procurement, Project Management, Research Practice, Engineering Principles, Legal Issues, Digital Applications, Quality Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here