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

Abstract

This paper 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 set environments (IFSs). 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 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.

An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

“…The study provides evidence in favour of the cited approach, considering it yields more consistent results in comparison to those based on IFSs. In Almulhim and Barahona [ 47 ], ELECTRE-I and VIKOR are integrated under an intuitionistic fuzzy environment. The extent to which judges' assessments impact attributes at different periods is investigated in this work.…”

Object-First Incremental Algorithms for Updating Approximations in Multi-Granulation Fuzzy Probabilistic Rough Sets Over Two Universes

“…However, the data always change over time in reality. In this regard, some scholars have done a lot of researches mainly from three viewpoints: attribute change [26]- [28], attribute value change [29]- [31], and object change [32]- [34]. In the information system over two universes, Hu et al [35] proposed a kind of incremental algorithm of fuzzy probabilistic rough sets.…”