Time series grouping and trend forecast using F1-transform and fuzzy natural logic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501BQB" target="_blank" >RIV/61988987:17610/14:A1501BQB - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Time series grouping and trend forecast using F1-transform and fuzzy natural logic
Original language description
We present an idea to group time series according to the course of their local trends that can be well captured by the $F^1$-transform. On the basis of an adjoint time series consisting of a sequence of F1-transform components, we form a grouping of timeseries with closely related trends. This enables us to forecast trend of one selected principal time series and on the basis of it, to forecast trends of the other time series from this grouping. This is realized using the methods of fuzzy natural logic, namely automatic generation of linguistic description from the data and then deriving a conclusion using the perception based logical deduction.
Czech name
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Czech description
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Project
<a href="/en/project/LH12229" target="_blank" >LH12229: Research and development of methods and tools for intelligent analysis of time series for tasks of strategic planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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