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基于模糊粗糙集的知识系统证据推理 被引量:2

Evidential Reasoning of Knowledge System Based on Fuzzy Rough Sets
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摘要 针对 Dubois 模糊粗糙集、Radzikowska 模糊粗糙集、双论域上的模糊粗糙集,分别定义各自对应的模糊信任(似然)函数,证明模糊信任(似然)函数等于其对应的模糊集的下(上)近似质量,据此建立模糊决策表的证据推理模型.实例表明,该模型是行之有效的. Fuzzy belief function and fuzzy plausible function are defined on Dubois fuzzy rough sets, Radzikowska fuzzy rough sets and fuzzy rough sets over two universes respectively. Then the equation relation between fuzzy belief function and lower approximation quality is proved. Thus, a model for evidential reasoning in fuzzy decision table is proposed. An example shows that the model is effective.
出处 《模式识别与人工智能》 EI CSCD 北大核心 2008年第4期552-558,共7页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金(No.60475019 60775036) 2006博士学科点专项科研基金(No.20060247039)资助项目
关键词 模糊粗糙集 模糊信任函数 模糊似然函数 证据推理 Fuzzy Rough Sets, Fuzzy Belief Function, Fuzzy Plausible Function, Evidential Reasoning
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参考文献13

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共引文献4

同被引文献17

  • 1黄鵾,陈森发,周振国,张文红.基于粗集理论和证据理论的多源信息融合方法[J].信息与控制,2004,33(4):422-425. 被引量:9
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  • 3邱卫根,罗中良.基于模糊粗集的不完备信息表属性约简新算法[J].计算机工程与应用,2005,41(35):15-16. 被引量:8
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