A hybrid trapezoidal fuzzy FUCOM-AHP approach and their application to identification of monkeypox risk factors

Abstract

The paper aims to introduce a model of multiple criteria decision making to identify the reasons that cause the spread of the monkeypox virus. These days, this virus is spread widely all across the globe. To study this, a hybrid model named as trapezoidal fuzzy full consistency method (FUCOM)-AHP is proposed by taking the benefits of the trapezoidal fuzzy number, FUCOM and the AHP process. This method will give an innovative method to determine the subjective weighting associated with decision-making. The trapezoidal fuzzy FUCOM (TrF-FUCOM) method is used to determine the weight of the different criteria. The benefits that can be gained as a consequence of applying the FUCOM comprise comparisons made pairwise of the requirements no more extensive than n − 1 comparison. Further, a trapezoidal fuzzy analytic hierarchy process is defined to determine the weight of the alternatives. Finally, by keeping features of both weights, we state a hybrid method, named TrF-FUCOM-AHP, to determine the global weights of the decision process. To demonstrate the applicability of the proposed method, a case study related to the identification of the cause of the spread of the monkeypox virus is presented.