Study of occupational hazards under the environment of interval valued q-rung picture fuzzy sets

Practical group decision-making (DM) issues typically involve challenging situations when trying to assign appropriate values to the facts because of the ambiguity and unpredictability of the surrounding conditions. In order to address the uncertainty and imprecision that arise in DM challenges, interval-valued $q$-rung picture fuzzy sets (IV$q$-RPFSs) are more widely constructed. This work integrates the criteria importance through intercriteria correlation (CRITIC), the decision-making trial and evaluation laboratory (DEMATEL) approaches, and the multi-attributive border approximation area comparison (MABAC) method separately. The MABAC technique determines the distance of each decision from the boundary approximation area, making it a very reliable and useful tool for real-world problem resolution. In the CRITIC technique, the correlations between attributes are taken into account when determining the criteria weights, and the DEMATEL methodology is recognized as the most efficient method for determining the interactions between many criteria or components. In the light of these factors, we develop the CRITIC-MABAC and DEMATEL-MABAC methods for IV$q$-RPFSs. This article’s main objective is to identify the occupational risk that most significantly affects hospital medical staff health by utilizing the recommended methodologies. First, we use the CRITIC technique to determine the criteria weights. Additionally, we calculate the weights of the criteria using the DEMATEL approach. To determine the most hazardous work environment for hospital employees, the applicability of the suggested methodologies is investigated. To confirm the accuracy of the suggested techniques, we compare our findings with previous studies.