Details

Autor(en) / Beteiligte

• Kacprzyk, Janusz
• Wilbik, Anna
• Zadrożny, Sławomir
• Skowron, Andrzej
• Kryszkiewicz, Marzena
• Peters, James F.
• Rybinski, Henryk

Titel

Linguistic Summarization of Time Series Under Different Granulation of Describing Features

Ist Teil von

• Rough Sets and Intelligent Systems Paradigms, p.230-240

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• We consider an extension to a new approach to the linguistic summarization of time series data proposed in our previous papers. We summarize trends identified here with straight segments of a piecewise linear approximation of time series. Then we employ, as a set of features, the duration, dynamics of change and variability, and assume different, human consistent granulations of their values. The problem boils down to a linguistic quantifier driven aggregation of partial trends that is done via the classic Zadeh’s calculus of linguistically quantified propositions but with different t-norms. We show an application to linguistic summarization of time series data on daily quotations of an investment fund over an eight year period.