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

Abstract

Occupational health and safety (OHS) is a multidisciplinary activity aimed at recognizing, evaluating and controlling hazards arising in or from the workplace that could impair the health and well‐being of workers. In dealing with an OHS risk analysis problem, it is a crucial step and also a big challenge to assess the risk of occupational hazards. Normally, domain experts tend to use qualitative words to express the risk of occupational hazards due to the fuzziness of human cognition, and multiple risk criteria are often involved in the OHS risk analysis. In this study, we develop a new OHS risk assessment framework by integrating the TODIM (an acronym in Portuguese for interactive and multicriteria decision‐making) and preference ranking organization method for enrichment evaluations (PROMETHEE) methods to assess and rank the risk of occupational hazards under linguistic spherical fuzzy environment. The linguistic spherical fuzzy sets are utilized to deal with the vague and uncertain risk assessments of occupational hazards provided by experts. An integrated TODIM‐PROMETHEE algorithm is introduced to determine the risk priority of the identified occupational hazards. Moreover, we extend the indifference threshold‐based attribute ratio analysis method to derive the relative weights of risk criteria based on linguistic spherical fuzzy information. Finally, the OHS risk analysis of medical staff in a hospital is presented to illustrate the effectiveness and availability of our proposed model. 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.

Waste Clothing Recycling Channel Selection Using a CoCoSo-D Method Based on Sine Trigonometric Interaction Operational Laws with Pythagorean Fuzzy Information

“…To assess e-learning websites, the ITARA approach was extended with linguistic hesitation fuzzy sets by Gong et al [60]. The ITARA approach was extended by Liu et al [61] in a linguistic spherical fuzzy environment.…”

Sustainable Circular Supplier Selection in the Power Battery Industry Using a Linguistic T-Spherical Fuzzy MAGDM Model Based on the Improved ARAS Method

“…Some existing MCDM approaches are applied, including the linguist spherical fuzzy weighted averaging (LSFWA) [35], linguist spherical fuzzy weighted geometric (LSFWG) [35], Lt-SFWA operators [36], Lt-SF MABAC [36], Lt-SF TODIM [36], and Lt-SF TODIM-PROMETHEE [79] methods, to the case in this article. It is worth mentioning that the combined attribute weight vector obtained in this case study was adopted.…”

Bulanık FUCOM ve bulanık çizge teorisi-matris yaklaşımı ile iş güvenliği risklerinin önceliklendirilmesi

“…Liu vd. [34] çalışmalarında dilsel bulanık ortam altında mesleki risklerin değerlendirilmesi ve sıralamasında TODIM ve PROMETHEE yöntemlerini entegre eden bir yaklaşım önermişlerdir. Yöntemin etkinliğini göstermek için bir hastanede sağlık personeli için uygulama çalışması gerçekleştirmişlerdir.…”