A Fuzzy Approach to the Linguistic Summarization of Time Series

被引：0

作者：

Castillo-Ortega, Rita M. ^{[1
]}

Marin, Nicolas ^{[1
]}

Sanchez, Daniel ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, Intelligent DataBases & Informat Syst Res Grp, E-18071 Granada, Spain

来源：

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | 2011年 / 17卷 / 2-3期

关键词：

Fuzzy sets; time series; linguistic summarization; intelligent information systems; OLAF; LANGUAGE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we introduce a new approach to linguistic summarization of time series based on the use of a fuzzy hierarchical partition of the time dimension and the evaluation of quantified sentences. The final summary consists of a collection of quantified sentences. The use of the time hierarchy allows us to accomplish the objectives of a summary, i.e., to be general, brief, and accurate.

引用

页码：157 / 182

页数：26

共 30 条

[1] BOSE P, 2002, INT C INF PROC MANAG, P1553
[2] Brillinger D., 2001, Time Series: Data Analysis and Theory
[3] Brophy P., 1996, Quality management for information and library managers
[4] Mining fuzzy frequent trends from time series
Chen, Chun-Hao
Hong, Tzung-Pei
Tseng, Vincent S.
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 4147 - 4153
[5] Cryer JD, 2008, SPRINGER TEXTS STAT, P1
[6] Fuzzy cardinality based evaluation of quantified sentences
Delgado, M
Sánchez, D
Vila, MA
[J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2000, 23 (01) : 23 - 66
[7] Hamilton J. D., 2020, TIME SERIES ANAL
[8] Harvey A.C., 1989, Forecasting, Structural Time Series Models and the Kalman Filter
[9] HOEPPNER F, 2005, LECT NOTES ARTIF INT, V2168, P192
[10] HOEPPNER F, 2004, LNCS, V2189, P125

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