It is difficult to determine the membership function in fuzzy optimization method and to obtain the knowledge, experience and rules in expert system.
模糊优化算法中隶属函数的确定及专家系统中专家的知识、经验和规则的获取都是棘手的问题。
By combination of expert experience and fuzzy identification, the fuzzy rules become more reliable.
在建立模糊规则时，应用了专家经验与模糊辨识相结合的方法，使规则更加合理可信。
A method that combines expert productive rules with fuzzy sets was introduced. It set up a natural linguistic recognition for expression of die casting processing experience.
介绍了专家系统产生式规则与模糊集合相结合的方法，阐述了压铸工艺经验表达的自然语言理解方式。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
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