Simulation and Optimization of detection and identification of targets in command and control systems by using fuzzy theory

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mehreghan Mohammad Reza; khorashadizadeh Mohammadreza; Partovi Mohammad Taghi

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: DEFENSIVE FUTURE STUDY Year:2019 | Volume:3 | Issue:11 Page(s): 99-117

Download Full-Text

Persian Verion

View:

315

Download:

Cites:

Information Journal Paper

Title

Simulation and Optimization of detection and identification of targets in command and control systems by using fuzzy theory

Author(s)

Mehreghan Mohammad Reza | khorashadizadeh Mohammadreza | Partovi Mohammad Taghi | Issue Writer Certificate

Keywords

Detection and Identification targetsQ2

Command and Control SystemQ1

Fuzzy TheoryQ1

Adaptive Neuro-Fuzzy Inference System (ANFIS)Q1

Abstract

In the futures century, it's impossible to imagine a world without air travel. every day airlines bring millions of passengers and goods between different countries and cities. in this process, the safety of flying airplanes has particular importance. different countries require advanced detection systems to identify their aerospace care for all flight targets. In many countries, the discovery process takes place using a variety of radars, and the identification process is carried out in a number of different ways, mainly by individuals specializing in spatial control centers, the main drawback of the current methods is the probability of occurrence of human decision making errors. therefore, it seems that considering the predictions and the increasing trend of air traffic, it is necessary to design fuzzy decision making and artificial intelligence software systems that can be used as decision makers in decision making in this area. accordingly, in this paper, using existing data as training, testing, validation and training information in the environment of the Tacachi-Sugeno interface fuzzy algorithm in MATLAB software environment, an optimal model for detection and identification processes is presented by the proposed system. the most important result of this study is to improve the detection and proper action of the flight targets by approximately 20%. given that the proposed algorithm has the ability to learn and predict trends due to the use of the knowledge base, it will be wider to apply in future missions.

Cites

No record.

References

No record.

Cite

APA: Copy

Mehreghan, Mohammad Reza, khorashadizadeh, Mohammadreza, & Partovi, Mohammad Taghi. (2019). Simulation and Optimization of detection and identification of targets in command and control systems by using fuzzy theory. DEFENSIVE FUTURE STUDY, 3(11 ), 99-117. SID. https://sid.ir/paper/371323/en

Vancouver: Copy

Mehreghan Mohammad Reza, khorashadizadeh Mohammadreza, Partovi Mohammad Taghi. Simulation and Optimization of detection and identification of targets in command and control systems by using fuzzy theory. DEFENSIVE FUTURE STUDY[Internet]. 2019;3(11 ):99-117. Available from: https://sid.ir/paper/371323/en

IEEE: Copy

Mohammad Reza Mehreghan, Mohammadreza khorashadizadeh, and Mohammad Taghi Partovi, “Simulation and Optimization of detection and identification of targets in command and control systems by using fuzzy theory,” DEFENSIVE FUTURE STUDY, vol. 3, no. 11 , pp. 99–117, 2019, [Online]. Available: https://sid.ir/paper/371323/en

Related Journal Papers