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Recognition of Tea Taste Signal Based on Rough Set

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

The discretization method of continuous attributes based on decision attributes which is discussed in document [3] can’t consider some special breakpoints very carefully. The modified algorithm on discretization given in this paper will improve the recognition accuracy and decrease the number of breakpoints. Experiment one gives the result about recognition of tea taste signal based document [3]’s algorithm. Experiment two gives the result about recognition of tea taste signal based on modified algorithm on discrtization method. By comparison with experiment one and experiment two testified the superiority of algorithm in this paper.

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References

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, Jilin Province, China

    YingJuan Sun, Yandong Zhai & ChunGuang Zhou

  2. College of Computer Science and Technology, Changchun Normal University, Changchun, Jilin Province, China

    YingJuan Sun

  3. College of Computer Science and Information Technology, Northeast Normal University, Changchun, Jilin Province, China

    DongBing Pu

  4. College of computer, Jilin Normal University, Siping, Jilin Province, China

    YingHui Sun

Authors
  1. YingJuan Sun
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  2. DongBing Pu
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  3. Yandong Zhai
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  4. ChunGuang Zhou
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  5. YingHui Sun
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Sun, Y., Pu, D., Zhai, Y., Zhou, C., Sun, Y. (2011). Recognition of Tea Taste Signal Based on Rough Set. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_87

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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