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Associated-Conflict Analysis Using Covering Based on Granular Computing

  • Conference paper
Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6328))

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Abstract

Conflicts are ubiquitous phenomena in our society, and the research on them is very important both practically and theoretically. Many mathematical models and methods of conflict have been studied and proposed. In this paper, associated-conflict is introduced, and a reasonable and comprehensive approach to its analysis, using covering based on granular computing, is outlined. The model of associated-conflict analysis, given by the example of service-resource, will provide more profound insight for the conflict resolution in different fields.

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Author information

Authors and Affiliations

  1. Institute of Artificial Intelligence and Parallel Computing, Zhejiang Normal University, Jinhua, Zhejiang, 321004, P.R. China

    Shuang Liu, Jiyi Wang & Huang Lin

Authors
  1. Shuang Liu
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  2. Jiyi Wang
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  3. Huang Lin
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    Kang Li

  2. School of Mechatronical Engineering and Automation, Shanghai University, P.O.Box 183, 200072, Shanghai, China

    Minrui Fei  & Li Jia  & 

  3. School of Electronics, Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    George W. Irwin

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Liu, S., Wang, J., Lin, H. (2010). Associated-Conflict Analysis Using Covering Based on Granular Computing. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-15621-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15620-5

  • Online ISBN: 978-3-642-15621-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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