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Multi-Optional Hybrid Functions Entropy Doctrine Advantages for a State Maximal Probability Determination Cover

Multi-Optional Hybrid Functions Entropy Doctrine Advantages for a State Maximal Probability Determination

Open Access
|Apr 2020

Abstract

The presented paper considers a comparison of the traditional methods for the state maximal probability determination to the proposed hybrid probabilistic and variational concept. It is shown the advantages of the described multi-optional hybrid-effectiveness functions uncertainty measure conditional optimization doctrine in the sense of avoiding the traditional ways analytical complicatedness concerning the maximal probability of the possible state determination. The results of the numerical example are presented.

Language: English
Page range: 53 - 65
Published on: Apr 18, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Andriy Viktorovich Goncharenko, published by ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.