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Study of Mean-Entropy Models for Key Point Air Defense Disposition

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Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

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Abstract

Air defense disposition problem is full of uncertainties and risks in modern war. In this paper, entropy is used as a measure of risk. The smaller entropy value is, the less uncertainty the problem contains, and thus, the safer disposition is. Within the framework of uncertainty theory, two types of fuzzy mean-entropy models are proposed. And a hybrid intelligent algorithm is presented for solving the proposed models in general cases. To illustrate the effectiveness of the proposed algorithm, a Numerical example of the bi-layer air-defense disposition for air defense operation in uncertain environment is presented.

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Author information

Authors and Affiliations

  1. Guilin Air Force Academy, Guilin, 541003, China

    Yu Wang & Li-ping Pan

Authors
  1. Yu Wang
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  2. Li-ping Pan
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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Wang, Y., Pan, Lp. (2010). Study of Mean-Entropy Models for Key Point Air Defense Disposition. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_71

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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