Assessing Construction Labours’ Safety Level: A Fuzzy McDm Approach

Abstract

Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers' safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

“…In any comprehensive safety risk assessment model, the final stage is all about the selection of appropriate evaluation strategies to address the analyzed safety risks [ 53 ]. To this end, the proposed EPRAM in this paper takes into account three levels of evaluation strategies using a linear interpolation technique, as suggested by Mohandes et al [ 45 ]. In doing so, the maximum and minimum values (which equal to respectively 1 and 6561 in a study conducted by Karasan et al [ 48 ]) were normalized within the range of [0, 1].…”

“…One example is the integration of Pythagorean fuzzy analytic hierarchy process with different Multi-Criteria Decision-Making (MCDM) methods. (e.g., [ 15 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 ]).…”

A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation

“…A new risk assessment model was proposed by Mohandes et al [63] to assess the safety of construction workers. The proposed model was developed by combining the fuzzy best-worst method (FBWM) and the interval-valued fuzzy technique for order of preference by similarity to ideal solution (IVFTOPSIS), and finally, three experts validated the developed evaluation model.…”

Zero-Risk Interpretation in the Level of Preventive Action Method Implementation for Health and Safety in Construction Sites

“…Risk is a difficult concept to clarify and evaluate. Many authors define, with very similar criteria, the concept of risk as a measure of the magnitude of damage concerning a situation that denotes danger [54]; as the likelihood that a worker will be injured or have an adverse effect on health after being exposed to a hazard [55]; or, as the relationship between the parameters of risk, likelihood, and consequences [56][57][58]. However, it is complex to define the magnitude of risk, both qualitatively and quantitatively [59,60].…”