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

Authors

  • 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

DOI:

https://doi.org/10.17605/OSF.IO/9X7YF

Keywords:

personnel management, data processing, fuzzy inference

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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Published

2022-03-11

Issue

Vol. 8 No. 03 (2022): journalnx

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

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