摘要
文中提出了两种新的模糊域划分方法:基于极大极小准则的模糊域划分方法和基于聂曼一皮尔逊准则的模域糊划分方法。这两种方法有效的解决了在先验概率未知或先验概率和故障代价均未知的条件下,如何动态可变且快速的划分模糊域的问题。并通过实际电路仿真对这两种方法的有效性和实用性进行了验证。
Two novel ones which based on the minimax criterion and Neyman Pearson Criterion are proposed. These two methods give the solution to dividing fuzzy field dynamicly and quickly without transcendental probability or without fault cost and transcendental probability. Finally the validity and practicability of the two methods are testified by actural analog circuit simulation.
出处
《电子测量技术》
2002年第4期1-2,共2页
Electronic Measurement Technology
