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A System to Evaluate an Air-Strike Threat Level Using Fuzzy Methods

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11056))

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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.

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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.

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Correspondence to Richard Cimler .

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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

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  • DOI: https://doi.org/10.1007/978-3-319-98446-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98445-2

  • Online ISBN: 978-3-319-98446-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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