Fuzzy Function and the Generalized Extension Principle
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501C8Z" target="_blank" >RIV/61988987:17610/14:A1501C8Z - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fuzzy Function and the Generalized Extension Principle
Original language description
In this paper, we discuss application of special soft computing methods, namely the fuzzy natural logic and fuzzy transform, to the problem of mining information from time series. The mined information is formulated in natural language. We discuss the following applications: reduction of size of time series, extraction of its trend-cycle, linguistic characterization of its future course and forecast of future values, finding perceptionally important points, extraction and linguistic evaluation of localtrend in a given area, and summarization of characteristics of time series using generalized intermediate quantifiers.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of FCTA 2014 - International Conference on Fuzzy Computation Theory and Applications
ISBN
978-989-758-053-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
169-174
Publisher name
SCITEPRESS
Place of publication
Lisboa, Portugal
Event location
Rome Italy
Event date
Oct 21, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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