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Discretiztion in Rough Set Modeling Method for Welding Process

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Book cover Robotic Welding, Intelligence and Automation

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 362))

Abstract

Rough set modeling method is a new and promising modeling method in welding field. Discretization plays an important role in that method. Considering the character of welding process and the rough set method, proper evaluation standards for discretiztion were discussed. To compare discretization algorithm, raw data of welding process were sampled by special designed sensor system, and the comparison method was designed. The input variable discretization and the output variable discretization were discussed respectively. At last, influencing factors for discretization were analysizsed.

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Author information

Authors and Affiliations

  1. Institute of Welding Engineer, Shanghai Jiaotong University, Shanghai, 200030, China

    Wen-hang Li, Shan-ben Chen & Tao Lin

Authors
  1. Wen-hang Li
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  2. Shan-ben Chen
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  3. Tao Lin
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Editor information

Editors and Affiliations

  1. Washington University, Cupples 2, Room 103, Campus Box 1040, St. Louis, MS, 63130, USA

    Tzyh-Jong Tarn

  2. Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P.R. China

    Shan-Ben Chen

  3. Advanced Robotics and Intelligent Control Centre (ARICC), School of Electrical and Electronic Engineering, Singapore Polytechnic, 500 Dover Road, Singapore, 139651, Singapore

    Changjiu Zhou

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© 2007 Springer-Verlag Berlin Heidelberg

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Li, Wh., Chen, Sb., Lin, T. (2007). Discretiztion in Rough Set Modeling Method for Welding Process. In: Tarn, TJ., Chen, SB., Zhou, C. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Control and Information Sciences, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73374-4_39

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  • DOI: https://doi.org/10.1007/978-3-540-73374-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73373-7

  • Online ISBN: 978-3-540-73374-4

  • eBook Packages: EngineeringEngineering (R0)

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