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Fuzzy Information and Engineering 2010 pp 129–137Cite as

Fuzzy Value Function’s Curvilinear and Surface Integral Base on Fuzzy Structured Element Method (II) – Fuzzy-Valued Function’s Surface Integral

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

Abstract

This article proposes the concept of the first fuzzy value function surface integral, gives the concept of fuzzy point or fuzzy vector in three-dimension space and the express method based on structured element by imitating the definition of two-dimensional fuzzy point, and defines the concept of the second fuzzy value function surface integral. Besides, the calculation method and relative properties of the two types of fuzzy value function surface integral are also given in this article.

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References

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Author information

Authors and Affiliations

  1. Institute of Mathematics and System Science, Liaoning Technical University, Fuxin, Liaoning, 123000, P.R. China

    Guo Sizong & Han jian

  2. College of Resources and Environmental Engineering, Liaoning Technical University, Fuxin, Liaoning, 123000, P.R. China

    Chen Changhua

Authors
  1. Guo Sizong
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  2. Han jian
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  3. Chen Changhua
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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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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sizong, G., jian, H., Changhua, C. (2010). Fuzzy Value Function’s Curvilinear and Surface Integral Base on Fuzzy Structured Element Method (II) – Fuzzy-Valued Function’s Surface Integral. 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_15

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_15

  • 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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