THE EXPERT EVALUATION AND INFORMATIONAL ENTROPY IN RECONNAISSANCE DATA PROCESSING

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DOI: https://doi.org/10.20998/2522-9052.2019.4.21
Keywords:
reconnaissance data processing, information entropy, data source, expert evaluation

Main Article Content

Vugar Mammadhuseyn Mammadov
War College of Armed Forces of the Azerbaijan Republic, Baku
https://orcid.org/0000-0002-0420-7864

Abstract

The reconnaissance data processing plays much role in warfare. The validity of this information is one of the most necessities for staff correct decision-making. Information entropy is a measure of data uncertainty. In information theory the concept of entropy describes how much information there is in signal or event. Information entropy relates to uncertainty amount concerning an event associated with given probability distribution. In this paper, the main importance of information entropy has been shown. In the same time, the application of both information entropy and expert evaluation methods in reconnaissance data processing has been considered. In consideration of the several sources of reconnaissance data, the calculation method of this information validity assessment has been offered on the basis of information entropy and expert evaluation.

Article Details

How to Cite
Mammadov, V. M. (2019). THE EXPERT EVALUATION AND INFORMATIONAL ENTROPY IN RECONNAISSANCE DATA PROCESSING. Advanced Information Systems, 3(4), 137–139. https://doi.org/10.20998/2522-9052.2019.4.21
Issue
Vol. 3 No. 4 (2019): Advanced Information Systems
Section
Applied problems of information systems operation
Author Biography

Vugar Mammadhuseyn Mammadov, War College of Armed Forces of the Azerbaijan Republic, Baku

colonel, Head of Department

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