학술논문

An Integrated Approach for Fuzzy-Dynamic Multi-Attribute Group Decision Making With Application in Renewable Energy
Document Type
Periodical
Source
IEEE Access Access, IEEE. 8:145092-145106 2020
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Decision making
Renewable energy sources
Uncertainty
Fuzzy sets
Proposals
Vehicle dynamics
Dynamic multi-attribute group decision-making
ELECTRE
intuitionistic fuzzy sets
outranking methods
renewable energy
VIKOR
Language
ISSN
2169-3536
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.