Abstract
The purpose of this paper is to propose a new easily implementable approach to a linguistic summarization of trends that may occur in temporal data, to be more specific - time series. To characterize the trends in time series, we use three parameters: dynamics of change, duration and variability, and apply to them the fuzzy linguistic summaries of data (databases) in the sense of Yager (cf. Yager [13], Kacprzyk and Yager [7] and Kacprzyk, Yager and Zadrozny [8]) which in the form of natural language-like sentences subsume the very essence of a set of data. A genetic algorithm is used to generate the linguistic summaries sought.
Original language | English |
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Title of host publication | Proceedings of 2006 International Symposium on Evolving Fuzzy Systems |
Editors | P. Angelov, D. Filev, N. Kasabov, O. Cordon |
Publisher | IEEE Press |
Pages | 137-142 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 3rd International IEEE Conference Intelligent Systems - London, United Kingdom Duration: 4 Sept 2006 → 6 Sept 2006 |
Conference
Conference | 3rd International IEEE Conference Intelligent Systems |
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Country/Territory | United Kingdom |
City | London |
Period | 4/09/06 → 6/09/06 |