An Integrated Approach for Fuzzy-Dynamic Multi-Attribute Group Decision Making with Application in Renewable Energy

Abstract

This article proposes a methodology for tackling intuitionistic fuzzy-dynamic multi-attribute group decision-making (IF-DMAGDM) problems in the presence of uncertainty. The ELECTRE I approach is integrated with the VIKOR method by considering intuitionistic fuzzy environments. This work introduces a novel form of representing how informed judgements affect the performance of alternatives with respect to attributes at different times that take the form of intuitionistic fuzzy sets (IFSs). The proposal incorporates three different relative weights: the first is for the decision makers, the second is for the attributes in each range of time, and the last is for the time intervals themselves. The method is suitable for complex and conflicting scenarios, and how an expert's opinion changes over an interval of time is accurately described. An evaluation of the sustainability indicators for renewable energy systems is provided as an illustrative example. To validate the results, a sensitivity analysis and comparative analysis with existing methods are presented.