RT Journal Article
T1 Aggregation of fuzzy vector spaces.
A1 Bejines-López, Carlos
K1 Conjuntos difusos
K1 Espacios vectoriales
K1 Matemáticas aplicadas
AB 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.
PB Institute of Information Theory and Automation
YR 2023
FD 2023
LK https://hdl.handle.net/10630/33189
UL https://hdl.handle.net/10630/33189
LA eng
NO Bejines, C. (2023). Aggregation of fuzzy vector spaces. Kybernetika, 752–767.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026