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Authors: Anastasiya Polyakova ; Lipinskiy Leonid and Eugene Semenkin

Affiliation: Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy ave. 31, 660041, Krasnoyarsk, Russia

Keyword(s): Fuzzy Rule-based Systems, the Problem of Restoring the Cryolite Ratio, Regression Problem, Evolutionary Algorithm, Parameter Optimization, Ensemble, Collective Decision-making System.

Abstract: Collective decision-making systems (or ensembles) based on fuzzy logic have proven their effectiveness in a number of test and practical tasks. However, the problem of configuring the system and forming the main operators remains unsolved. In this paper is a study of the effectiveness of different sequences of applying optimization procedures for the formation of the main operators of a collective decision-making system based on fuzzy logic. The effectiveness of tuning schemes for a collective decision-making system is investigated using the problem of restoring the cryolite ratio and the content of calcium and magnesium fluorides. It is shown in the research that an effective choice of the sequence of applying optimization procedures for tuning and forming the main operators can significantly increase the overall efficiency of the system.

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Paper citation in several formats:
Polyakova, A.; Leonid, L. and Semenkin, E. (2020). Researching the Efficiency of Configurations of a Collective Decision-making System on the Basis of Fuzzy Logic. In Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA; ISBN 978-989-758-475-6; ISSN 2184-3236, SciTePress, pages 277-285. DOI: 10.5220/0009976602770285

@conference{fcta20,
author={Anastasiya Polyakova. and Lipinskiy Leonid. and Eugene Semenkin.},
title={Researching the Efficiency of Configurations of a Collective Decision-making System on the Basis of Fuzzy Logic},
booktitle={Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA},
year={2020},
pages={277-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009976602770285},
isbn={978-989-758-475-6},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - FCTA
TI - Researching the Efficiency of Configurations of a Collective Decision-making System on the Basis of Fuzzy Logic
SN - 978-989-758-475-6
IS - 2184-3236
AU - Polyakova, A.
AU - Leonid, L.
AU - Semenkin, E.
PY - 2020
SP - 277
EP - 285
DO - 10.5220/0009976602770285
PB - SciTePress