Study of aggregating interval type-2 fuzzy model capabilities for forecasting of time series

Authors

  • N. R. Kondratenko
  • O. V. Cheboraka

Keywords:

aggregating interval type-2, fuzzy model, time series, interval forecast, fuzzy logic systems

Abstract

The paper studies aggregating interval type-2 fuzzy model (AIT2FM) capabilities for forecasting of time series. This model consists of a set of interval type-2 fuzzy logic systems (IT2FLS) with various input numbers. IT2FLS is also studied to let us construct adequate IT2FLSs. It allows to construct adequate AIT2FM that gives narrower prediction intervals than IT2FLS.

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Published

2010-11-12

How to Cite

[1]
N. R. Kondratenko and O. V. Cheboraka, “Study of aggregating interval type-2 fuzzy model capabilities for forecasting of time series”, Вісник ВПІ, no. 6, pp. 22–27, Nov. 2010.

Issue

No 6 (2008)

Section

Automation and information-measuring equipment

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