Occupational safety deals with the task of protection of workers and worksites, reducing the number of occupational accidents, minimizing insufficient informing, and improving the awareness of employees from a multi-disciplinary point of view. The most crucial processes of occupational safety, risk assessment, accident analysis, ergonomics, emergency scenarios, worksite safety, and management have gained great importance due to regulatory and legal measures. These processes cover problems such as evaluating, assessing, and selecting alternatives under conflicting criteria with respect to the decision maker’s preferences. As such, these occupational safety problems can be considered as multi-criteria decision-making problems.

Decision-making under multi-criteria is an important research field of Operations research (OR) and Management Science (MS). It provides a broad range of methodologies for decision-makers and analysts, which are well suited to the complexity of decision problems. The methods heavily include human participation and judgment. The main characteristics of a decision-making method include alternatives, criteria against evaluated alternatives, scores of alternatives to the criteria, and criteria weights reflecting the relative importance of each criterion compared with others. Fuzzy decision-making is used to model uncertainty and vagueness because many real-world systems include incomplete and imprecise data. Since it is often difficult for analysts to give a precise rating to an alternative with respect to the corresponding criteria by classical decision-making methods, fuzzy aided methods fill the gap at this point.

This Special Issue aims to bring together contributions from researchers applying decision-making models to occupational safety problems, in order to motivate the continuing effort to include worksite safety, human health, and environmental protection aspects into fuzzy decision-making modelling. Both original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Fuzzy multi-criteria decision-making method development for occupational safety problems
• Applications of fuzzy decision-making models for occupational risk analysis, accident analysis, worksite ergonomics, emergency scenarios, and environmental risk assessment
• Integration of fuzzy decision-making and classical risk analysis (decision matrix-, Fine-Kinney, HAZOP, FMEA, etc.) methods for occupational safety problems
• Integration of fuzzy sets and probabilistic risk analysis in occupational safety
• Intelligent decision support systems (Bayesian networks, fuzzy cognitive maps, and other similar models) for occupational risk assessment and accident analysis