Fuzzy Decision-Making in Construction Project Management
Summary
Construction projects are inherently complex, involving multiple stakeholders, evolving requirements and uncertain environments. Traditional crisp decision-making methods often struggle to accommodate imprecision in expert judgments, fluctuating site conditions and interdependent risk factors. Fuzzy decision-making applies the mathematical theory of fuzzy sets to translate qualitative assessments—such as “high risk”, “moderate quality” or “likely delay”—into quantifiable membership functions. This enables project managers to model uncertainty more faithfully, aggregate disparate expert opinions and rank alternatives under ambiguity. Hybrid approaches combine fuzzy inference systems, fuzzy Delphi procedures, analytic network processes and multi-criteria decision-making to capture the complex interrelationships among cost, time, quality and safety criteria. Applications span risk identification and prioritisation, contractor or technology selection, productivity forecasting in public–private partnership schemes, sustainable project appraisal and dynamic safety evaluation on critical civil works. By embedding fuzzy logic within digital platforms and integrating it with real-time monitoring data, practitioners can generate adaptive risk scores, tailor emergency response protocols and optimise resource allocation. Globally, fuzzy decision frameworks are reshaping best practice in infrastructure delivery, enhancing transparency, stakeholder consensus and resilience against unforeseen events.
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Fuzzy Decision-Making in Construction Project Management publication trend
The graph below shows the total number of articles in fuzzy decision-making in construction project management across all publications each year (not limited to Nature Index journals).
Technical terms
Fuzzy Inference System: A rule-based framework that maps fuzzy input variables to fuzzy outputs via IF-THEN rules and aggregation operators, supporting approximate reasoning under uncertainty.
Fuzzy Delphi Technique: A systematic expert consultation process enhanced with fuzzy logic to model vagueness in consensus building and prioritise factors when numerical data are scarce.
Fuzzy DEMATEL: A method for detecting and quantifying cause-effect relationships among factors by combining fuzzy set theory with the Decision-Making Trial and Evaluation Laboratory approach.
Analytic Network Process (ANP): A generalisation of AHP that accommodates interdependencies and feedback among decision criteria and alternatives, often integrated with fuzzy weights in network structures.
References
- An integrated risk and productivity assessment model for public–private partnership projects using fuzzy inference system. Decision Analytics Journal (2024).
- An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. Journal of Civil Engineering and Management (2019).
- A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model. Journal of Civil Engineering and Management (2020).
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