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