Associated-conflict analysis using covering based on granular computing

Authors:
Shuang Liu;Jiyi Wang;Huang Lin
Affiliations:
Institute of Artificial Intelligence and Parallel Computing, Zhejiang Normal University, Jinhua, Zhejiang, P.R. China;Institute of Artificial Intelligence and Parallel Computing, Zhejiang Normal University, Jinhua, Zhejiang, P.R. China;Institute of Artificial Intelligence and Parallel Computing, Zhejiang Normal University, Jinhua, Zhejiang, P.R. China
Venue:
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Year:
2010

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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.