Fuzzy vs. Probabilistic Techniques in Time Series Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901SR2" target="_blank" >RIV/61988987:17610/18:A1901SR2 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-73150-6_17" target="_blank" >http://dx.doi.org/10.1007/978-3-319-73150-6_17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-73150-6_17" target="_blank" >10.1007/978-3-319-73150-6_17</a>

Result language
angličtina
Original language name
Fuzzy vs. Probabilistic Techniques in Time Series Analysis
Original language description
In this paper, we discuss the difference between probabilistic and fuzzy techniques used in time series analysis. First, we focus on the fundamental difference between vagueness and uncertainty phenomena. Then we briefly describe probabilistic view of time series. In the main part, we demonstrate how special fuzzy techniques, namely the fuzzy natural logic and fuzzy transform can be applied in the analysis of time series and what is their outcome in comparison with the probabilistic approach.We argue that fuzzy techniques enable to obtain knowledge that is eithermore difficult or impossible to obtain using probabilistic techniques.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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