Variable Weight Analysis Under Fuzzy Environment and its Application

Rong Ma, Wenyi Zeng, Junqi Guo, Deqing Li, Xianchuan Yu and Peizhuang Wang
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Rong Ma: School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P. R. China
Wenyi Zeng: School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P. R. China
Junqi Guo: School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P. R. China
Deqing Li: ��Academy of Foundational Education, Neusoft Institute Guangdong, Foshan 528000, P. R. China
Xianchuan Yu: School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P. R. China
Peizhuang Wang: ��College of Intelligence Engineering and Mathematics, Liaoning Engineering and Technology University, Fuxin 123000, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 06, 2119-2139

Abstract: Fuzzy set theory has attracted many researchers’ interests and many efficient variants have been implemented in support system, decision-making and other fields. Inspired by the idea of variable weight analysis, in this study, we investigate state variable weight vector and its properties, propose two kinds of variable weight aggregation operators such as variable weight averaging (VWA) operator and variable weight geometric (VWG) operator based on three types of fuzzy attribute values. Finally, we apply in ship evaluation and economy collaboration evaluation tasks and make comparison analysis to illustrate the effectiveness of our proposed technique.

Keywords: Variable weight aggregation operator; variable weight vector; state variable weight vector; variable weight decision-making; hesitant fuzzy number (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219622023500256

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