S.D. Phad,
M.C. Aher,
Abstract
Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project’s life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known as fuzzy theory enhances the risk management process. This approach not only addresses the challenges posed by inaccurate data but also provides a structured methodology for drawing conclusions. The application of fuzzy theory is exemplified through a risk assessment of an ongoing residential construction project. By employing a systematic fuzzy model, expert judgment values are transformed into precise metrics. This paper focuses on the application of fuzzy logic models within the construction sector and highlights the benefits of this approach compared to traditional risk assessment methods. Furthermore, the integration of fuzzy logic into construction risk management enables project teams to handle ambiguity and uncertainty more effectively, thereby improving decision-making processes. It facilitates the prioritization of risks, allocation of resources, and development of proactive strategies to ensure project continuity and success. The structured framework allows for the incorporation of qualitative and quantitative data, providing a more holistic view of potential risks. Additionally, the approach enhances communication among stakeholders by offering a transparent and logical reasoning process for risk evaluation. The insights gained from applying fuzzy logic models not only contribute to better risk mitigation but also support cost optimization, schedule adherence, and improved safety management. As construction projects continue to grow in scale and complexity, adopting advanced methodologies like fuzzy theory is becoming increasingly critical in achieving sustainable and resilient project outcomes.
Keywords: Risk assessment, fuzzy logic, construction, decision making, uncertainty, management
S.D. Phad, M.C. Aher. Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique. Journal of Industrial Safety Engineering. 2025; 12(03):-.
S.D. Phad, M.C. Aher. Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique. Journal of Industrial Safety Engineering. 2025; 12(03):-. Available from: https://journals.stmjournals.com/joise/article=2025/view=234968
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Journal of Industrial Safety Engineering
| Volume | 12 |
| 03 | |
| Received | 01/09/2025 |
| Accepted | 17/09/2025 |
| Published | 30/09/2025 |
| Publication Time | 29 Days |
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