首页|Managing uncertainty in battery energy storage system evaluation using complex hesitant fuzzy multi-criteria decision-making technique with Einstein operators
Managing uncertainty in battery energy storage system evaluation using complex hesitant fuzzy multi-criteria decision-making technique with Einstein operators
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NETL
NSTL
Elsevier
Battery energy storage system (BESS) evaluation and selection is a typical multi-criteria decision-making (MCDM) problem because of uncertainties and interdependencies of criteria. Although previous approaches have dealt with this issue in dissimilar ways using fuzzy techniques, none of them can properly model the decision hesitancy and the extra fuzzy information (2nd dimension) at the same time. In this manuscript, a novel complex hesitant fuzzy MCDM (CHF-MCDM) approach based on Einstein aggregation operators (AOs) is proposed to overcome these shortcomings. Our key contributions include: proposing the extension of Einstein AOs to complex hesitant fuzzy sets (CHFSs), introducing a theoretical framework for both hesitancy and extra fuzzy information, developing a complete CHF-MCDM methodology for BESS assessment, and testing this approach through a case study. The proposed framework provides higher performance in cases of decision-making in the presence of uncertainty and multiple possible values. After this, we compare the proposed approach with certain existing ones to reveal the benefits and requirements of the deduced theory. This research fills a major theoretical gap by developing Einstein operators and applying them to CHFSs, providing decision-makers with a more accurate and comprehensive tool for assessing BESS that is more realistic in terms of the actual environment.
Battery energy storage systemEinstein operatorsComplex hesitant fuzzy setsMulti-criteria decision-makingAGGREGATION OPERATORSMCDMSTRATEGY
ur Rehman, Ubaid、Mahmood, Tahir、Waqas, Hafiz Muhammad
NETL
NSTL
Elsevier
