摘要
介绍了一种具有模糊推理机制的模糊知识系统的基本结构、知识表示和推理机制,阐述了在模糊知识库设计与实现中,模糊推理机构造和工作流程设计的方法。该系统推理机制是基于传统RETE算法的扩展,通过使用相似性方法来处理模糊问题,实现了一种较为理想的不确定性推理;同时系统采用正向和反向推理相结合的双向推理机,使推理具有较高的准确性。最后给出了一个实例验证系统可行性。
A fuzzy knowledge - based （FKB） system with fuzzy inference machine is introduced. The methods for knowledge expressing and inference mechanism are proposed. Addresses the method of constructing fuzzy inference machine and designing workflow of fuzzy inference machine. The inference mechanism is based on the extension of the traditional RETE algorithm to handle fuzziness using a similarity - based approach. It realizes a relatively perfect uncertainty inference. And this system uses a bidirectional rcesoning, which combines forward and backward reasoning. Finally, an example is illustrated.
出处
《计算机技术与发展》
2007年第3期112-115,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(503751617)
重庆市科技攻关项目(7823-10)
关键词
模糊推理
模糊知识库
推理机
RETE算法
隶属度
fuzzy inference
fuzzy knowledge - based
inference machine
RETE algorithm
membership degree
