A method of building type-2 fuzzy logic systems in multidimensional objects identification problems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.101635

Keywords:

type-2 fuzzy logic system, type-2 fuzzy sets, interval membership function, optimization criterion

Abstract

A generalized method for developing partially formalized objects identification fuzzy models by direct rule generation based on experimental data is formulated. Models built according to this principle have the intrinsic ability to operate in accordance with the observation data. Under the condition of the initial experimental data set being representational enough, they may not even require additional tuning of the membership functions parameters.

Still, systems developed based on experimental data are often redundant, and may require corrections of the input feature set magnitude. An approach for modifying the number of model inputs is proposed. It allows to do so without the model losing its capability to adequately reflect the subject area.

In order to develop a fuzzy logic system, which would reflect the subject area in an adequate manner, an optimization criterion is proposed, measuring the increase in mutual information reflecting from a fuzzy logic system’s inputs to its outputs. Under the condition of maintaining the system’s capability for adequate decision making, a sequence of steps required for developing a type-2 fuzzy logic system, optimal according to the considered criterion, is shown.

This paper provides justification for type-2 fuzzy sets being appropriate for use in mathematical models dealing with uncertain input data. The justification is performed theoretically, based on information theory considerations, and confirmed experimentally.

The proposed method enables solving applied problems of identifying multidimensional objects, such as an environmental system

Author Biographies

Natalia Kondratenko, Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021

PhD, Associate Professor

Department of information security

Olha Snihur, Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021

Postgraduate student

Department of information security

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Published

2017-06-30

How to Cite

Kondratenko, N., & Snihur, O. (2017). A method of building type-2 fuzzy logic systems in multidimensional objects identification problems. Eastern-European Journal of Enterprise Technologies, 3(4 (87), 38–45. https://doi.org/10.15587/1729-4061.2017.101635

Issue

Vol. 3 No. 4 (87) (2017): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2017 Наталія Романівна Кондратенко, Ольга Олексіївна Снігур

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