MAKING MANAGEMENT DECISIONS OF THE ELECTRIC POWER SYSTEM USING THE PARACONSISTENCY LOGICAL MODEL OF THE EXPERT SYSTEM (PESPAL2V)-Reference-Cited by-同舟云学术

MAKING MANAGEMENT DECISIONS OF THE ELECTRIC POWER SYSTEM USING THE PARACONSISTENCY LOGICAL MODEL OF THE EXPERT SYSTEM (PESPAL2V)

Published:2021-12-29 Issue: Volume: Page:
ISSN:
Container-title:CAD/EDA, MODELING AND SIMULATION IN MODERN ELECTRONICS: COLLECTION OF SCIENTIFIC PAPERS OF THE V INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE
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Author:

Porubay Oksana¹

Affiliation:

1. Tashkent State Technical University named after I. Karimova

Abstract

This article describes an expert system that is designed and developed for a certain and limited application of human knowledge. Equipped with an information base, it is able to make decisions based on reasonable knowledge. At the same time, the algorithms from which the computational program of the expert system consist, represent knowledge from the area they should analyze and help solve problems.

Publisher

Bryansk State Technical University

Reference4 articles.

1. Da Silva Fiho, J. I., Lambert-Torres, G., & Abe, J. M. Uncertainty Treatment Using Paraconsistent Logic- Introducing Paraconsistent Artificial Neural Networks. IOS Press, 328, 211, Frontiers in Artificial Intelligence and Applications, Amsterdam, Netherlands, 2010., Da Silva Fiho, J. I., Lambert-Torres, G., & Abe, J. M. Uncertainty Treatment Using Paraconsistent Logic- Introducing Paraconsistent Artificial Neural Networks. IOS Press, 328, 211, Frontiers in Artificial Intelligence and Applications, Amsterdam, Netherlands, 2010.

2. Torres, C. R., Abe, J. M., Lambert-Torres, G., & Da Silva Filho, J. I. Autonomous Mobile Robot Emmy III. Mobile Robots- Current Trends, Dr. Zoran Gacovski (Ed.), 978-9-53307-716-1, InTech., 2011., Torres, C. R., Abe, J. M., Lambert-Torres, G., & Da Silva Filho, J. I. Autonomous Mobile Robot Emmy III. Mobile Robots- Current Trends, Dr. Zoran Gacovski (Ed.), 978-9-53307-716-1, InTech., 2011.

3. Porubay O. Decision-Making Under Conditions Of Definition And Risk Based On Strict Methods. Chemical Technology, Control and Management: Vol. 2020: Iss. 5, Article 15. DOI: https://doi.org/10.34920/2020.5-6.77-82 / Available at: https://uzjournals.edu.uz/ijctcm/vol2020/iss5/15., Porubay O. Decision-Making Under Conditions Of Definition And Risk Based On Strict Methods. Chemical Technology, Control and Management: Vol. 2020: Iss. 5, Article 15. DOI: https://doi.org/10.34920/2020.5-6.77-82 / Available at: https://uzjournals.edu.uz/ijctcm/vol2020/iss5/15.

4. Siddikov I., Porubay O. Neural network model of decision making in electric power facilities under conditions of uncertainty / E3S Web of Conferences / Volume 304 (2021) / 2nd International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2021) / Tashkent, Uzbekistan, October 14-16, 2021 / DOI https://doi.org/10.1051/e3sconf/202130401001., Siddikov I., Porubay O. Neural network model of decision making in electric power facilities under conditions of uncertainty / E3S Web of Conferences / Volume 304 (2021) / 2nd International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2021) / Tashkent, Uzbekistan, October 14-16, 2021 / DOI https://doi.org/10.1051/e3sconf/202130401001.