ADAPTIVE DECISION MAKING SUPPORT SYSTEM, BASED ON FUZZY LOGIC CONCLUSION

Authors

  • Roman Kvetniy Vinnytsia National Technical University
  • Volodymyr Kotsubinskiy Vinnytsia National Technical University
  • Ludmyla Kislitsa Vinnytsia National Technical University
  • Nina Kazimirova Vinnytsia National Technical University
  • Anna Kirilenko Vinnytsia National Technical University

Keywords:

decision making support system, fuzzy logic, adaptive system, forecast of random process

Abstract

The paper contains the description of adaptive decision making support system, based on fuzzy logic rules, the system takes into account the results of objects behavior forecast and can be applied in conditions of fuzziness.

Author Biographies

Roman Kvetniy, Vinnytsia National Technical University

Dc. Sc. (Eng.), Professor, Head of the Chair of Automation and Information Measuring Engineering

Volodymyr Kotsubinskiy, Vinnytsia National Technical University

Cand. Sc. (Eng.), Assistant Professor of Automation and Information Measuring Engineering Department

Ludmyla Kislitsa, Vinnytsia National Technical University

Researcher of Automation and Information Measuring Engineering Department

Nina Kazimirova, Vinnytsia National Technical University

Post Graduate of Automation and Information Measuring Engineering Department

Anna Kirilenko, Vinnytsia National Technical University

Studen

Downloads

Abstract views: 166

Published

2015-11-30

How to Cite

[1]
R. Kvetniy, V. Kotsubinskiy, L. Kislitsa, N. Kazimirova, and A. Kirilenko, “ADAPTIVE DECISION MAKING SUPPORT SYSTEM, BASED ON FUZZY LOGIC CONCLUSION”, Works of VNTU, no. 3, Nov. 2015.

Issue

No. 3 (2011): 2011№3

Section

Information Technologies and Computer Engineering

Metrics

Downloads

Download data is not yet available.