Time Series Mining by Fuzzy Natural Logic and F-Transform

被引：2
|
作者：
Novak, Vilem [1 ]
Perfilieva, Irina [1 ]
机构：
[1] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, NSC IT4Innovat, 30 Dubna 22, CZ-70103 Ostrava 1, Czech Republic
来源：
2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2015年
关键词：
GENERALIZED INTERMEDIATE SYLLOGISMS; FORMAL THEORY; QUANTIFIERS;
D O I：
10.1109/HICSS.2015.181
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we discuss application of special soft computing methods, namely the fuzzy natural logic and fuzzy transform, to the problem of mining information from time series. The mined information is formulated in natural language. We discuss the following applications: reduction of size of time series, extraction of its trend-cycle, linguistic characterization of its future course and forecast of future values, finding perceptionally important points, extraction and linguistic evaluation of local trend in a given area, and summarization of characteristics of time series using generalized intermediate quantifiers.
引用
收藏
页码：1493 / 1502
页数：10
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