RT Journal Article
T1 Fuzzy time series analysis: Expanding the scope with fuzzy numbers
A1 Bello, Hugo J.
A1 Ojeda Hernández, Manuel
A1 López-Rodríguez, Domingo
A1 Bejines-López, Carlos
K1 Análisis de series temporales
K1 Lógica difusa
AB This article delves into the process of fuzzifying time series, which entails converting a conventional time series into a time-indexed sequence of fuzzy numbers. The focus lies on the well-established practice of fuzzifying time series when a predefined degree of uncertainty is known, employing fuzzy numbers to quantify volatility or vagueness. To address practical challenges associated with volatility or vagueness quantification, we introduce the concept of informed time series. An algorithm is proposed to derive fuzzy time series, and findings include the examination of structural breaks within the realm of fuzzy time series. Additionally, this article underscores the significance of employing topological tools in the analysis of fuzzy time series, accentuating the role of these tools in extracting insights and unraveling intricate relationships within the data.
PB Elsevier
SN 0888-613X
YR 2025
FD 2025-02-21
LK https://hdl.handle.net/10630/38551
UL https://hdl.handle.net/10630/38551
LA eng
NO Bello, H. J., Ojeda-Hernández, M., López-Rodríguez, D., & Bejines, C. (2025). Fuzzy time series analysis: Expanding the scope with fuzzy numbers. International Journal of Approximate Reasoning, 180, 109387.
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 25 ene 2026