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Approximate Controllability for the Semilinear Fuzzy Integrodifferential Equations in n-Dimensional Fuzzy Vector Space

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Mechanical Engineering and Technology

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 125))

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Abstract

In this paper, we study the ε-approximate controllability for the semilinear fuzzy integrodifferential control system in fuzzy vector space. This is an extension of result of Kwun et al.[4] to n-dimensional fuzzy vector space.

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References

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Author information

Authors and Affiliations

  1. Department of Fiber Plastic Design, Dong-A University, Busan, 604-714, Korea

    Ja Hong Koo

  2. Department of Chemistry, Dong-A University, Busan, 604-714, Korea

    Yong Gyun Lee

  3. Department of Mathematics, Dong-A University, Busan, 604-714, Korea

    Young Chel Kwun

  4. Department of Applied Mathematics, Pukyong National University, Busan, 608-737, Korea

    Jin Han Park

Authors
  1. Ja Hong Koo
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  2. Yong Gyun Lee
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  3. Young Chel Kwun
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  4. Jin Han Park
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Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Tianbiao Zhang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Koo, J.H., Lee, Y.G., Kwun, Y.C., Park, J.H. (2012). Approximate Controllability for the Semilinear Fuzzy Integrodifferential Equations in n-Dimensional Fuzzy Vector Space. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-27329-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27328-5

  • Online ISBN: 978-3-642-27329-2

  • eBook Packages: EngineeringEngineering (R0)

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