
一种基于粗糙集的模糊信息融合方法及应用
陈双叶1、张微敬1,2
A Method of Information Fusion Based on Rough Sets and Its Applications
Chen Shuangye1、 Zhang Weijing1,2
将粗糙集理论和模糊逻辑技术结合起来,提出了一种基于粗糙集数据处理的模糊信息融合方法。运用粗糙集的基本理论和简约计算方法,从大量原始数据中发现精简的、概略化的规则,结合模糊逻辑推理建立一致粗糙模糊模型,并提出了对模型进行扩充与完备化的概念。脉动真空灭菌温度控制过程的仿真试验研究结果表明了所提方法的有效性和可行性。
A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in this paper. Rough-fuzzy model can be built by obtaining general simplified rules from the large number of data using rough sets theory and methods of computing reduces. The concepts of expansion and perfection to the model are also presented. Finally the simulations and experiments of pulse vacuum disinfection control system are carried out using this method, the research results show the method is effective and feasible.
information fusion / rough sets / fuzzy logic / rough-fuzzy model
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