The objective of this Jumper Wire paper is to present an extended approach to address the stochastic multi-attribute decision-making problem.The novelty of this study is to consider the regret behavior of decision makers under a Pythagorean hesitant fuzzy environment.First, the group satisfaction degree of decision-making matrices is used to consider the different preferences of decision-makers.
Second, the nonlinear programming model under different statues is provided to compute the weights of attributes.Then, based on the regret theory, a regret value matrix and a rejoice value matrix are constructed.Furthermore, the feasibility and superiority of the developed approach is proven by an illustrative example of selecting Belt Pulley an air fighter.
Eventually, a comparative analysis with other methods shows the advantages of the proposed methods.