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Vague Sets Based Researches on Natural Rubber Species Optimization Evaluation

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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

This academic paper put forward the transformation formula and new similarity measure formula from single value data to vague data, and makes it the basis of vague integrative optimization evaluation methods. And make use of vague sets to optimize and evaluate four natural rubber species which planted widely in Hainan synthetically. Finally request to protect the natural rubber species of all kinds, breeding and promotion of new breed of high productivity and high resisting adversity property through science and technology innovation, and ultimately promote yield of natural rubber.

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© 2010 Springer-Verlag Berlin Heidelberg

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Jun, J., Zhuang, L., Hongxu, W., Jianchun, G. (2010). Vague Sets Based Researches on Natural Rubber Species Optimization Evaluation. 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_48

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_48

  • 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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