用乘积推理机、单值模糊器和中心平均解模糊化来计算输出。
Product inference engine, singleton fuzzifier and center average defuzzifier were used to calculate outputs.
当按照以上描述完成配置之后，Derby数据库使应用程序服务器层与eis层之间的差别模糊化。
When configured as described above, the Derby database engine blurs the distinction between the Server tier and the EIS tier.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
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