KNOWLEDGE-ORIENTED INTELLECTUAL METHODS DECISION UNDER UNCERTAINTY

Authors

  • Ye. I. Kucherenko Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
  • M. V. Khodak Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2015-4-7

Keywords:

federated database, distributed query, inhomogeneous systems, local data, rule base.

Abstract

The problems of global access to data and knowledge of the company. Availability of automated facilities require the implementation of
intelligent technologies, methods and models for assessing the quality of their functioning. A method for optimizing data access, which is focused on the integration of existing local data, and provides independent support and administration of each of them. The method is focused on a deterministic process, which limits its application. Formulated especially data processing techniques, to offer enhanced knowledge-oriented method of fuzzy inference TSK. Fuzzy method TSK, which, unlike the existing ones, further includes a system of equations of the utility function and enables the integration of knowledge in the procedures of fuzzy inference based on the importance of rules. The experiment confirmed the effectiveness of the approach to knowledge-oriented technologies.

References

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How to Cite

Kucherenko, Y. I., & Khodak, M. V. (2016). KNOWLEDGE-ORIENTED INTELLECTUAL METHODS DECISION UNDER UNCERTAINTY. Radio Electronics, Computer Science, Control, (4). https://doi.org/10.15588/1607-3274-2015-4-7

Issue

No. 4 (2015): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2016 Ye. I. Kucherenko, M. V. Khodak

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