Linguistic Characterization of Time Series

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701BU7" target="_blank" >RIV/61988987:17610/16:A1701BU7 - 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

Linguistic Characterization of Time Series

Original language description

This paper overviews and continues application of special soft computing theories, namely fuzzy transform and fuzzy natural logic, to analysis, forecasting and mining information from time series. The focus of this paper is directed especially to ability of these methods to provide information in sentences of natural language.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

FUZZY SET SYST

ISSN

0165-0114

e-ISSN

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Volume of the periodical

285

Issue of the periodical within the volume

1

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

21

Pages from-to

52-72

UT code for WoS article

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EID of the result in the Scopus database

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