| 知识不确定性问题的粒计算模型 |
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| 引用本文： | 王国胤,张清华,马希骜,杨青山. 知识不确定性问题的粒计算模型[J]. 软件学报, 2011, 22(4): 676-694. DOI: 10.3724/SP.J.1001.2011.03954 |
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| 作者姓名： | 王国胤 张清华 马希骜 杨青山 |
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| 作者单位： | 重庆邮电大学,计算机科学与技术研究所,重庆,400065 |
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| 基金项目： | 国家自然科学基金(61073146); 重庆市自然科学基金(2008BA2017); 重庆市杰出青年科学基金(2008BA2041) |
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| 摘 要： | 知识不仅是构成人类认知能力的重要基石,也是智能科学研究的基础问题之一.随着智能科学技术研究的发展,知识的不确定性研究受到人们的普遍关注.知识的不确定性来源于知识本身的不确定性以及受外界(客观世界)影响而导致的不确定性.从粒计算模型的角度分析了模糊集理论模型、粗糙集理论模型、商空间理论模型以及其他扩展粒计算模型中知识的不确定性问题,并对知识不确定性问题的研究工作进行了讨论和总结,对有待研究的重要问题进行了展望.
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| 关 键 词： | 粒计算 知识 不确定性 粗糙集 模糊集 商空间 |
| 收稿时间： | 2010-01-15 |
| 修稿时间： | 2010-10-11 |
Granular Computing Models for Knowledge Uncertainty |
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| WANG Guo-Yin,ZHANG Qing-Hu,MA Xi-Ao and YANG Qing-Shan. Granular Computing Models for Knowledge Uncertainty[J]. Journal of Software, 2011, 22(4): 676-694. DOI: 10.3724/SP.J.1001.2011.03954 |
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| Authors: | WANG Guo-Yin ZHANG Qing-Hu MA Xi-Ao YANG Qing-Shan |
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| Affiliation: | Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
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| Abstract: | Knowledge is not only an important cornerstone that constructs the cognitive ability in human beings, but is also one of the basic issues in intelligence science. With the development of intelligence science and technology, the study of knowledge uncertainty is attracting more and more attention. Knowledge uncertainty includes the inherent uncertainty of knowledge itself and the effect of external influence on knowledge. In the view of granular computing (GrC), the knowledge uncertainties of the fuzzy set theory model, the rough set theory model, the quotient space theory model, and some other related granular computing models are studied in this paper. The state-of-the-art and key issues of knowledge uncertainty are discussed. |
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| Keywords: | granular computing knowledge uncertainty rough set fuzzy set quotient space |
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