1) separability function
可分性函数
1.
The separability showing the difference of the collective is defined and then based on this definition, the separability function and three of its properties are given.
文中首先定义了反映总体间区别的总体可分性 ,然后在此基础上给出了总体可分性函数 ,并且讨论了该函数的三个性质 。
2) possibility distribution function
可能性分布函数
1.
This paper is intended to generalize the one dimensional possibility measure totwo dimension by iritroducing two dimensional possibility distribution function.
本文通过引入二维可能性分布函数的概念，将可能性测度推广到二维的情形。
2.
To express the relationship between the gear condition and the symptom parameters,the probability density functions were translated to possibility distribution functions by p.
提出了5个时域中的无量纲特征参量,并应用可能性理论,把由实测数据求得的特征参量的概率密度函数转换为可能性分布函数,可表征特征参量与设备状态间的模糊关系。
3) membership functions/possibility distribution
隶属函数/可能性分布
4) linearly non-separable Boolean function
线性不可分的布尔函数
5) separable functions
可分离函数
1.
Problems of equational realizations of separable functions and nonseparable functions are discussed by using this method in this paper.
本文用这种方法讨论可分离函数及不可分离函数的实现问题。
6) function factorization
函数可分解
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条