Hybrid decision making model for COVID-19 effects: A (p, q)-rung orthopair fuzzy integrated CRITIC-DEMATEL-MABAC approach

Abstract

Practical group decision-making (DM) problems commonly entail difficult scenarios when attempting to assign suitable values to the facts because of the situation’s uncertainty and unpredictability. The more general structure of (p, q)-rung orthopair fuzzy sets addresses the imprecision and ambiguity that arise in decision-making challenges. 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. The DEMATEL methodology is recognized as the most efficient means of determining the interactions between many criteria or components, while the CRITIC technique takes into account the correlations between attributes when determining the criteria weights. We have decided to develop the CRITIC-MABAC and DEMATEL-MABAC algorithms for (p, q)-rung orthopair fuzzy sets in light of these factors. To illustrate the application of the proposed method, a numerical example is given for determining the effect of “coronavirus disease" (COVID-19) on daily life. The effectiveness of the proposed approach is evaluated by comparing it with existing methodologies.