PICTURE-HESITANT FUZZY-BASED DUAL-NORMALIZED MULTIPLE AGGREGATIONS FOR MATERIAL SELECTION IN A LIFT-BASED CONVERTER

Daekook Kang, Krishnan Suvitha, Michael Sandra, Dragan Pamucar, Vladimir Simic, Samayan Narayanamoorthy

DOI Number
10.22190/FUME240213030K
First page
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Abstract


This paper addresses the challenge of material selection for lift-based Wave Energy Converters (WECs) by presenting a novel methodology that integrates fuzzy information representation and Multi-Criteria Decision-Making (MCDM) techniques. The aim is to provide decision-makers with a robust framework for optimizing material choices despite uncertainties and limited field data. The methodology combines a material selection approach tailored for lift-based WECs with a new fuzzy information representation technique, probabilistic picture hesitant fuzzy sets (P-PHFSs). The results underscore the potential of these methods for reducing the risk of machine failures in WEC technology. The proposed method contributes to the development of WEC technology by providing a systematic and flexible framework for decision-makers to optimize material choices and improve the reliability and performance of WEC systems.

Keywords

Material life cycle, Wave energy converter, Decision making, Fuzzy logic, Probabilistic picture hesitant fuzzy set, Preference selection index

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References


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