¹ International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China
² College of Computer & Information Engineering, Henan Normal University, Xinxiang 453007, P. R. China

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Abstract—Granular computing is a general computing paradigm of problem solving for effectively using granules in problem solving. From the viewpoint of granularity, this paper presents a new granular computing data cycle model in which information granule construction, granular space, information granule operations, and knowledge acquisition approach are proposed respectively. To do a more user oriented way, a multi-strategies model, namely, Base-Level learning strategy, user interest retention strategy, and starting point strategy, introduces to unify search and reasoning for effective problem solving. Then, we discuss granularity-based unification using three strategies mentioned above and show three-levels of granularity from human problem solving to a wide variety of user needs satisfied. Furthermore, on the basis of user-centric multistrategies and granular information processing, we develop a conceptual framework of granularity-based knowledge retrieval model, which enlarges the application areas of granular computing.

Index Terms—granular computing, information granule, granularity, multi-strategies, knowledge retrieval

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Cite: Lin Sun, Ning Zhong, and Jiucheng Xu, " Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval," Journal of Computers vol. 8, no. 8, pp. 2101-2109, 2013.