本文介绍了如何对一些信号处理的结果进行转换而得到模糊隶属函数。
This paper shows how the membership functions are obtained from results of signal processing.
针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
隶属函数值法虽然方法繁琐，但结果也较为可靠，且利于在育种、生理等方面研究中应用。
The method of subordinative function value was complicate, but it was also reliable and beneficial for crop breeding and physiological studies.
并利用寻优获得的隶属函数和控制规则与PID算法、常规模糊控制算法控制同一被控对象的响应结果进行了对比分析。
At last, control performance of optimized control rule and membership function are compared with that of PID and traditional fuzzy control system.
将隶属函数引入模糊查询中，提出能在查询结果中反映查询模糊性的隶属度。
This paper introduces membership function into fuzzy queries, and presents membership degree which can reflect its fuzziness in the query result.
结合完工隶属函数，给出了安全时差的计算模型，通过安全时差的计算结果，能够合理地反映出网络计划模型中潜在的不确定性的影响程度。
Furthermore, an approach for calculating the safe float is given, by which the influence of the potential uncertainty in network could be reflected rationally.
结合完工隶属函数，给出了安全时差的计算模型，通过安全时差的计算结果，能够合理地反映出网络计划模型中潜在的不确定性的影响程度。
Furthermore, an approach for calculating the safe float is given, by which the influence of the potential uncertainty in network could be reflected rationally.
应用推荐