Abstract
This article presents a computer expert system that evaluates an air-strike threat. The presented system uses fuzzy methods and it has been created based on the expert knowledge of a given problematic. Our system is able to calculate the threat level of a monitored aircraft for a protected object in real time. It evaluates the inter-relationships between air attack elements and protected objects that are attacked or where it can be assumed that they will be attacked. The results of this research have been checked and verified by experts in military tactics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cimler, R., Gavalec, M., Zimmermann, K.: An optimization problem on the image set of a (max, min) fuzzy operator. Fuzzy Sets Syst. 341, 113–122 (2018)
Cimr, D., Cimler, R., Tomášková, H.: Combination of collision detection and visibility algorithms in simulation of the effective placement of anti-air elements. In: Król, D., Nguyen, N.T., Shirai, K. (eds.) ACIIDS 2017. SCI, vol. 710, pp. 213–221. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56660-3_19
Goztepe, K., Karaman, E., Bali, O.: Fuzzy similarity approach to air/missile defense units allocation in area of operation. J. Mult.-valued Log Soft Comput. 26, 335–351 (2016)
Kao, S.-L., Lee, K.-T., Chang, K.-Y., Ko, M.-D.: A fuzzy logic method for collision avoidance in vessel traffic service. J. Navig. 60(1), 17–31 (2007)
Kurnaz, S., Cetin, O., Kaynak, O.: Fuzzy logic based approach to design of flight control and navigation tasks for autonomous unmanned aerial vehicles. J. Intell. Robot. Syst. 54(1–3), 229–244 (2009)
Larkin, L.I.: A fuzzy logic controller for aircraft flight control. In: the 23rd IEEE Conference on 1984 Decision and Control, vol. 23, pp. 894–897. IEEE (1984)
Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. In: Proceedings of the Institution of Electrical Engineers, vol. 121, pp. 1585–1588. IET (1974)
Ross, T.J.: Fuzzy Logic with Engineering Applications. Wiley, Hoboken (2009)
Tavakkoli-Moghaddam, R., Safaei, N., Azaron, A.: Designing a fuzzy system for controlling the armament fire in dynamic siege. Expert Syst. Appl. 36(9), 11691–11698 (2009)
Vine, M.T.: Fuzzy logic in radar resource management (2001)
Wang, T.-C., Chang, T.-H.: Application of topsis in evaluating initial training aircraft under a fuzzy environment. Expert Syst. Appl. 33(4), 870–880 (2007)
Zadeh, L.A.: Information and control. Fuzzy Sets 8(3), 338–353 (1965)
Acknowledgement
This work was supported by the FIM UHK under the Grant of Specific Research Project. Financial support from the Faculty of Science University of Hradec Králové is also gratefully acknowledged. We would like also thank to Josef Slavik from the company Retia.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Cimr, D., Tomaskova, H., Cimler, R., Kuhnova, J., Slouf, V. (2018). A System to Evaluate an Air-Strike Threat Level Using Fuzzy Methods. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11056. Springer, Cham. https://doi.org/10.1007/978-3-319-98446-9_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-98446-9_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98445-2
Online ISBN: 978-3-319-98446-9
eBook Packages: Computer ScienceComputer Science (R0)