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Title: Aggregation of fuzzy vector spaces (English)
Author: Bejines, Carlos
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 59
Issue: 5
Year: 2023
Pages: 752-767
Summary lang: English
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Category: math
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Summary: This paper contributes to the ongoing investigation of aggregating algebraic structures, with a particular focus on the aggregation of fuzzy vector spaces. The article is structured into three distinct parts, each addressing a specific aspect of the aggregation process. The first part of the paper explores the self-aggregation of fuzzy vector subspaces. It delves into the intricacies of combining and consolidating fuzzy vector subspaces to obtain a coherent and comprehensive outcome. The second part of the paper centers around the aggregation of similar fuzzy vector subspaces, specifically those belonging to the same equivalence class. This section scrutinizes the challenges and considerations involved in aggregating fuzzy vector subspaces with shared characteristics. The third part of the paper takes a broad perspective, providing an analysis of the aggregation problem of fuzzy vector subspaces from a general standpoint. It examines the fundamental issues, principles, and implications associated with aggregating fuzzy vector subspaces in a comprehensive manner. By elucidating these three key aspects, this paper contributes to the advancement of knowledge in the field of aggregation of algebraic structures, shedding light on the specific domain of fuzzy vector spaces. (English)
Keyword: aggregation function
Keyword: vector spaces
Keyword: algebraic structures
Keyword: monotone functions
MSC: 03B52
MSC: 94D05
idZBL: Zbl 07790660
idMR: MR4681021
DOI: 10.14736/kyb-2023-5-0752
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Date available: 2023-12-12T16:02:50Z
Last updated: 2024-02-13
Stable URL: http://hdl.handle.net/10338.dmlcz/151986
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