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HYBRID ANN AND FIREWORKS ALGORITHM FOR REAL-TIME SOFTWARE RELIABILITY PREDICTION

Ivy Botchway Felix Larbi Aryeh Boniface Kayode Alese
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Methodological Aspects of the Development Logical Inference Procedures in Diagnostic Expert Systems

Published on October 2014 by A. A. Djaylavov, A. E. Kuvnakov
journal_cover_thumbnail

International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 1
October 2014
Authors: A. A. Djaylavov, A. E. Kuvnakov

A. A. Djaylavov, A. E. Kuvnakov . Methodological Aspects of the Development Logical Inference Procedures in Diagnostic Expert Systems. International Conference on Information and Communication Technologies. ICICT, 1 (October 2014), 1-4.

@article{
author = { A. A. Djaylavov, A. E. Kuvnakov },
title = { Methodological Aspects of the Development Logical Inference Procedures in Diagnostic Expert Systems },
journal = { International Conference on Information and Communication Technologies },
issue_date = { October 2014 },
volume = { ICICT },
number = { 1 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icict/number1/17957-1401/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A A. A. Djaylavov
%A A. E. Kuvnakov
%T Methodological Aspects of the Development Logical Inference Procedures in Diagnostic Expert Systems
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 1
%P 1-4
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper the experience of creating expert systems and methodological aspects of developing logical inference procedures in diagnostic expert system of computer systems are discussed.

References
  1. Djaylavov A. A. 2011. Some aspects of the use of expert systems technology to solve the problems of diagnostics of computer systems. In Proceedings of the Republican Scientific and Technical Conference Current status and the development of information technologies.
  2. Mazeppa R. B. , Kirzhakov V. Y. 2005. Practical aspects of the use of expert systems technology for real-time diagnosis of the design of complex technical systems. Journal of information technology in the design and production. (Feb. 2005. ), 13-21.
  3. Bekmuratov T. F. , Djaylavov A. A. 2007. Solution of problems of diagnosing computer systems by heuristics methods. Journal of TUIT. (Jan. 2007), 67-71.
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  8. Bekmuratov T. F, Mukhamedieva D. T. 2011. Fuzzy inference system for forecasting problems // DAN Uzbekistan. - Tashkent, No. 3, 23-26 p.
  9. Bekmuratov T. F, Mukhamedieva D. T 2011. Neuro synthesis algorithm for fuzzy inference systems // International Science and Technology Journal of Chemical Technology. Control and management. - Tashkent, ? 6, 49-57p.
  10. Muhamedieva D. T. 2013. Clustering algorithm rules of fuzzy inference systems // Natural and engineering sciences. ?2. Moscow. 248-252p.
Index Terms

Computer Science
Information Sciences

Keywords

Expert Systems Computer Diagnostics Logical Inference