Evaluating the performance of e-waste recycling programs using fuzzy multiattribute group decision making model

This paper presents a fuzzy multiattribute group decision making model for evaluating the performance of ewaste recycling programs to meet the best sustainability interests of an e-waste recycling company. Intuitionistic fuzzy numbers are used for representing the subjective and imprecise assessments of the decision maker in evaluating the relative importance of the attributes and the performance of individual e-waste recycling programs. An effective algorithm is developed based on the concept of ideal solutions for calculating the overall performance index for each e-waste recycling program across all attributes. An example is presented for demonstrating the applicability of the fuzzy multiattribute group decision making model for dealing with real world e-waste recycling program performance evaluation problems.