Towards the development of a comprehensive hybrid fuzzy-based occupational risk assessment model for construction workers

  title={Towards the development of a comprehensive hybrid fuzzy-based occupational risk assessment model for construction workers},
  author={Saeed Reza Mohandes and Xueqing Zhang},
  journal={Safety Science},


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).

A Fuzzy Risk Assessment Model for Small Scale Construction Work

Occupational risk assessment is important for providing employees with a safe and healthy work environment. When compared with other industries, the construction industry poses a higher risk for

Building demolition risk assessment by applying a hybrid fuzzy FTA and fuzzy CRITIC-TOPSIS framework

This paper provides a novel framework for assessing the risks in building demolition operations and helps demolition project managers to manage the risk in their projects properly.

A Hybrid Fuzzy Risk Assessment Framework for Determining Building Demolition Safety Index

A framework to determine building demolition safety index (BDSI), which shows the safety level of a building being demolished, is provided, which allows project managers to have a more realistic view of the risk level of the project and accordingly take the necessary measures to prevent accidents.

Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA

  • M. GulM. F. Ak
  • Computer Science
    Stochastic Environmental Research and Risk Assessment
  • 2020
A new model is developed for occupational risk assessment by merging two well-known multi-criteria decision-making methods named best and worst method (BWM) and multi attribute ideal real comparative analysis (MAIRCA) under fuzzy environment.

Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment

Results show that the TODIM‐PROMETHEE framework being developed in this study provides a useful, effective, and practical way for the risk assessment of occupational hazards in OHS.

Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach

A two-stage approach to assess the OHS risks in the health sector by combining the Fine-Kinney and multi-criteria hesitant fuzzy linguistic term set (HFLTS) methods is adopted.

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

An Ensemble Predictive Safety Risk Assessment Model (EPSRAM) is developed and demonstrated how it can provide safety professionals and inspectors concerned with well-being of workers with valuable information, leading to improving the working environment of construction crew members.

Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach

PurposeIn the study, a five-dimensional-safety risk assessment model (5D-SRAM) is developed to improve the construction safety risk assessment approaches available in the literature. To that purpose,