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A Novel Modeling and Analysis Approach to Efficiency Requirements for System of Systems

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International Conference on Oriental Thinking and Fuzzy Logic

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 443))

Abstract

To solve the problem that the classical UML is lack of capability to model the fuzzy information for the C4ISR system, the paper proposes a novel modeling and analysis method based on fuzzy cloud model. It suggests a requirements analysis framework, which can define integrated requirements of both system functions and non-function, and extends the classic UML to improve the domain applicability. Then, it designs backward transformation algorithm of efficiency property and suggests a constructible method for efficiency evaluation function. Finally, the feasibility of the proposed approach is illustrated by using a military example.

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Acknowledgments

Thanks to the support by National Natural Science Foundation of China (No. 61273210) and the Meta-Model Data Groups of Department of Defense Architecture Framework for the contribution to the meta-models.

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Authors and Affiliations

  1. College of Command Information, PLA University of Science and Technology, Nanjing, 210007, China

    Qing-long Wang, Zhi-xue Wang, Yi-zhou Liu & Wei-xing Zhu

Authors
  1. Qing-long Wang
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  2. Zhi-xue Wang
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  3. Yi-zhou Liu
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  4. Wei-xing Zhu
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Corresponding author

Correspondence to Qing-long Wang .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational Collg. Sci. & Tech., Guangzhou, China

    Bing-Yuan Cao

  2. West Texas A&M University, Canyon,TX,USA, Liaoning Technical University, Fuxin, China

    Pei-Zhuang Wang

  3. Foreign Affairs Office, National Defense University, Beijing, China

    Zeng-Liang Liu

  4. School of Math and Info. Science, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

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© 2016 Springer International Publishing Switzerland

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Wang, Ql., Wang, Zx., Liu, Yz., Zhu, Wx. (2016). A Novel Modeling and Analysis Approach to Efficiency Requirements for System of Systems. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_33

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  • DOI: https://doi.org/10.1007/978-3-319-30874-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30873-9

  • Online ISBN: 978-3-319-30874-6

  • eBook Packages: EngineeringEngineering (R0)

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