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Knowledge Engineering and Management pp 53–59Cite as

Research on Risk Assessment of Ship Repair Based on Case-Based Reasoning

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 278))

Abstract

As it is difficult to describe the mechanism of ship repair risk, common methods are less credible for its assessment. By analyzing ship repair risk, this paper identifies the causes and consequences of risk, and utilizes frame-based representation to construct the case representation for ship repair risk. In addition, similarity functions are developed for enumerated attributes, numeric attributes, and fuzzy attributes, so as to perform reasoning of repair risk from the approach of K-Nearest Neighbor. Case analysis presents that the application of case-based reasoning in ship repair risk assessment is easy to understand and extend.

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Author information

Authors and Affiliations

  1. Department of Management Engineering, Naval University of Engineering, Wuhan, China

    Lu Yao, Zhi-Cheng Chen & Jian-Jun Yang

Authors
  1. Lu Yao
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  2. Zhi-Cheng Chen
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  3. Jian-Jun Yang
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Corresponding author

Correspondence to Zhi-Cheng Chen .

Editor information

Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yao, L., Chen, ZC., Yang, JJ. (2014). Research on Risk Assessment of Ship Repair Based on Case-Based Reasoning. In: Wen, Z., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54930-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-54930-4_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54929-8

  • Online ISBN: 978-3-642-54930-4

  • eBook Packages: EngineeringEngineering (R0)

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