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Extended Fuzzy Description Logic ALCN

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

Web applications based on description logics often need management of fuzzy information and encounter fuzzy concepts. This paper proposes an extended fuzzy ALCN to enable representation and reasoning for complex fuzzy information. The extended fuzzy ALCN introduces the cut sets of fuzzy concepts and fuzzy roles as atomic concepts and atomic roles, and inherits the concept constructors from description logics to support a new logic system. This paper defines its syntax structure, semantic interpretation and reasoning problems. The extended fuzzy ALCN is more expressive than the existing fuzzy description logics and present more wide fuzzy information.

This work was supported in part by the NSFC (60373066, 60425206, 90412003), National Grand Fundamental Research 973 Program of China (2002CB312000), National Research Foundation for the Doctoral Program of Higher Education of China (20020286004)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Southeast University, Nanjing, 210096, China

    Yanhui Li, Baowen Xu, Jianjiang Lu, Dazhou Kang & Peng Wang

  2. Jiangsu Institute of Software Quality, Nanjing, 210096, China

    Baowen Xu & Jianjiang Lu

  3. State Key Laboratory of Software, Wuhan University, Wuhan, 430072, China

    Baowen Xu

  4. PLA University of Science and Technology, Nanjing, 210007, China

    Jianjiang Lu

Authors
  1. Yanhui Li
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  2. Baowen Xu
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  3. Jianjiang Lu
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  4. Dazhou Kang
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  5. Peng Wang
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, Y., Xu, B., Lu, J., Kang, D., Wang, P. (2005). Extended Fuzzy Description Logic ALCN. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_125

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  • DOI: https://doi.org/10.1007/11554028_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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