Interval Values Based on Foreground Theory and Mixed Weighted Distance Pythagorean Fuzzy Multi-attribute Decision-Making
In order to solve the problem that the subjective preference and risk aversion of decision-makers are often ignored in the existing Pythagorean fuzzy evaluation,a technique was presented.The prospect theory was introduced to reflect the subjective feelings of decision-makers,and at the same time the Pythagorean fuzzy number to the interval value Pythagorean fuzzy number was improved to avoid the situation that decision-makers cannot use accurate values for evaluation,and the weight correction coefficient based on the equilibrium perspective was used to prevent the bias of weight determination caused by only considering the subjective preference of decision-makers.On this basis,the interval value Pythagorean mixed weighted distance was introduced into the TOPSIS method to realize the orderly assembly of diversity information.Finally,the effectiveness of the method was verified through case analysis and comparative analysis.
the interval value Pythagorean fuzzy setprospect theorymixed weighted distance