SYSTEM FOR ANALYZING AND PROCESSING DATA ON UNIVERSITY STAFF BASED ON A FUZZY CONTROLLER WITH A FIXED KNOWLEDGE BASE

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Published Mar 11, 2022
https://doi.org/10.17605/OSF.IO/9X7YF
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Vol. 8 No. 03 (2022): journalnx

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Tursinxanov Nurlan Mustafaevich
Candidate of Technical Sciences, Associate Professor, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan
Rajaboev Shakhboz
Graduate student, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan

Abstract

Scientific and methodological foundations for processing data on personnel in universities based on the use of neural networks, fuzzy inference models, knowledge bases, and databases have been developed. Methods for forming fuzzy rule bases, modeling membership functions and linguistic terms, synthesizing components of neuro-fuzzy networks are proposed. Inference algorithms have been tested on the example of various functions that reflect the nonlinear input-output dependencies of neuro-fuzzy networks. The results are implemented in the form of data processing software modules.

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How to Cite
Tursinxanov Nurlan Mustafaevich, & Rajaboev Shakhboz. (2022). SYSTEM FOR ANALYZING AND PROCESSING DATA ON UNIVERSITY STAFF BASED ON A FUZZY CONTROLLER WITH A FIXED KNOWLEDGE BASE. JournalNX - A Multidisciplinary Peer Reviewed Journal, 8(03), 16–21. https://doi.org/10.17605/OSF.IO/9X7YF