摘要
不精确信息进行表达和推理逐渐成为一种必然的需求,而经典的本体并不适合处理这种不确定的信息。设计了一种支持模糊粗糙本体的推理机,其最大的特点是处理的对象是模糊粗糙本体,从而解决了不确定信息的推理问题。对模糊粗糙本体模型进行了研究,着重介绍了该模糊粗糙本体推理机的总体结构、功能及推理机中各模块的作用,通过对模糊粗糙本体进行约简和去粗糙处理,最终将对模糊粗糙本体的推理转化为经典的推理。
To deal with associated imprecise information needs to be expressed and reasoned,but classical ontologies are unsuitable to deal with uncertain information.To solve the uncertain information reasoning problem,a fuzzy rough ontology driven reasoning machine is designed,its major characteristic is that the processed object is fuzzy rough ontology.Moreover,the fuzzy rough ontology model is proposed,the general structure and functions of the fuzzy rough ontology reasoning machine and the role of each reasoning module is emphatically analyzed.Based on the reducing and non-rough processing to fuzzy rough ontology,a fuzzy rough ontology reasoning task is eventually transformed into a series of classical reasoning tasks.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第10期3619-3624,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(60972090
61073057)
