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Fuzzy Decision Making for Diagnosing Machine Fault

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7196))

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Abstract

The purpose of this study is to present a fuzzy diagnosing machine fault to support the developing machine diagnosis system. The fuzzy evaluation is used to process the problems of which the fault causes and the symptoms are dealing with the uncertainty environment. In this study, we propose two propositions to treat the machine diagnosis fault.

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Author information

Authors and Affiliations

  1. Department of International Business, China University of Technology, 56, Sec. 3, Hsing-Lung Road, Taipei, 116, Taiwan

    Lily Lin

  2. Department of Information Management, Chinese Culture University, 55, Hwa-Kung Road, Yang-Ming-San, Taipei, 11114, Taiwan

    Huey-Ming Lee

  3. Department of Applied Mathematics, Chinese Culture University, 55, Hwa-Kung Road, Yang-Ming-San, Taipei, 11114, Taiwan

    Jin-Shieh Su

Authors
  1. Lily Lin
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  2. Huey-Ming Lee
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  3. Jin-Shieh Su
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2012 Springer-Verlag Berlin Heidelberg

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Lin, L., Lee, HM., Su, JS. (2012). Fuzzy Decision Making for Diagnosing Machine Fault. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-28487-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28486-1

  • Online ISBN: 978-3-642-28487-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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