Analysis of stationary processes using fuzzy transform

DOI

10.2991/eusflat.2013.107How to use a DOI?

Keywords

Fuzzy transform Uniform fuzzy partirtion Stationary random process

Abstract

In this paper, we show that fuzzy transform originally introduced for a transformation of complex spaces of functions to simpler ones can be used in the analysis of real stationary random processes. We will show that under certain assumptions the fuzzy transform may be used for an approximation of this type of stationary processes as well as for a reduction of their variability. The obtained results could help researches to understand better the analysis of time series based on fuzzy transform.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Michal Holcapek
AU  - Vilem Novak
AU  - Irina Perfilieva
PY  - 2013/08
DA  - 2013/08
TI  - Analysis of stationary processes using fuzzy transform
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 754
EP  - 761
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.107
DO  - 10.2991/eusflat.2013.107
ID  - Holcapek2013/08
ER  -