基于模糊-神经网络的援例支持系

Case Based Support Systems Using Fuzzy Neural Technology

针对援例支持系统中常要遇到的模糊性问题 ,提出了一种基于模糊 -神经网络的援例支持系统 (FNCBSS) .作为一种智能决策支持系统 ,因为它具有模糊逻辑推理和学习的功能 ,故而更接近人类思维的认知过程 .给出了其原理结构图 ,并对之进行了分析 .指出了其理论上的可行性和实现上面临的困难 。

Approaching the fuzzy problems that Case Based Suportsystem often face,this paper pre- sents a kind of case based supportsystems using fuzzy neural technology (FNCBSS) .As a kind of in- tellignetdecision supportsystems,becauseithasfuzzy logic inferenceand learning functions,itismore similar to the mental cognitive processof mankind.The paper gives and analysesthe principle strcture of the FNCBSS and also points outits fessibilities from the theorical perspective and the difficultiesit will face in application.In the end,it discusses the future of the FNCBSSdevelopement.