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《Journal of Software》 2002-04
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Recognition Structure of Uncertainty: a Unified Framework for Representation, Reasoning and Learning

LIU Jie, CHEN Xiao-ping, CAI Qing-sheng, FAN Yan(Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China)  
In this paper a unified framework for representing, reasoning and learning of uncertain information is put forward. The 4-valued recognition structure is used to measure the uncertain degree of uncertain information and thus more powerful expressive capacity is attained. Moreover, the framework supports the efficient acquisition of the uncertain information. These features make the framework more practical than existing theories of reasoning about uncertainty.
【Fund】: 国家自然科学基金资助项目(69875017);;国家863高科技发展计划资助项目(2001AA422200)
【CateGory Index】: TP181
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