The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory

International Journal of Advances in Intelligent Informatics

View Publication Info
 
 
Field Value
 
Title The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory
 
Creator Azimirad, Ehsan
Movahhed Ghodsinya, Seyyed Reza
 
Subject Sensor Networks; Fuzzy Dempster-Shafer Theory; Model-Based Uncertainty; Fuzzy Sets Theory; Combat Management System
 
Description Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks. In literature, there are some theories that state and model uncertainty in the information. One of the new methods is the Fuzzy Dempster-Shafer Theory. In this paper, a model-based uncertainty is presented in the air defense system based on the Fuzzy Dempster-Shafer Theory to measure uncertainty and its accuracy. This model uses the two concepts naming of the Fuzzy Sets Theory, and the Dempster-Shafer Theory. The input parameters to sensors are fuzzy membership functions, and the basic probability assignment values are earned from the Dempster-Shafer Theory. Therefore, in this paper, the combination of two methods has been used to calculate uncertainty in the air defense system. By using these methods and the output of the Dempster-Shafer theory are calculated and presented the uncertainty diagrams. The advantage of the combination of two theories is the better modeling of uncertainties. This makes that the output of the air defense system is more reliable and accurate. In this method, the air defense system’s total uncertainty is measured using the best uncertainty measure based on the Fuzzy Dempster-Shafer Theory. The simulation results show that this new method has increased the accuracy to 97% that is more computational toward other theories. This matter significantly increases the computational accuracy of the air defense system in targets threat assessment.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2020-07-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/461
10.26555/ijain.v6i2.461
 
Source International Journal of Advances in Intelligent Informatics; Vol 6, No 2 (2020): July 2020; 149-160
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/461/ijain_v6i2_p149-160
http://ijain.org/index.php/IJAIN/article/downloadSuppFile/461/103
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library