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An extended, specificity based approach to linguistic summarization of time series
| Content Provider | CiteSeerX |
|---|---|
| Author | Wilbik, Anna Kacprzyk, Janusz |
| Description | in Proceedings of the 12th International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems |
| Abstract | We reformulate and extend our previ-ous works (cf. Kacprzyk, Wilbik and Zadrożny [7] – [17]), mainly towards a more complex evaluation of results on the linguistic summarization of time se-ries meant as the derivation of an lin-guistic quantifier driven aggregation of partial trends with respect to the dy-namics of change, duration and variabil-ity. We use Zadeh’s calculus of linguisti-cally quantified propositions but, in ad-dition to the basic criterion of a degree of truth (validity), we also use a degree of specificity to make it possible to ac-count for a frequent case that though the degree of truth of a very general (not specific) summary is high, its usefulness may be low due to its low specificity. We show an application to the absolute performance type analysis of daily quo-tations of an investment fund. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Absolute Performance Type Analysis Lin-guistic Quantifier Complex Evaluation Investment Fund Low Specificity Basic Criterion Partial Trend Zadeh Calculus Quantified Proposition Previ-ous Work Linguistic Summarization Frequent Case Time Series Daily Quo-tations Time Se-ries Meant |
| Content Type | Text |
| Resource Type | Proceeding Conference Proceedings |
