论文标题
决策树软数
Decision Trees with Soft Numbers
论文作者
论文摘要
在连续随机变量的经典概率中，涉及严格不平等和非严格不平等的概率没有区别。此外，概率涉及平等崩溃至零，而没有区分我们希望随机变量具有比较的值。这项工作通过将软数字纳入概率理论中提出了软概率。软数字是新数字集，这些数字是一个倍数的线性组合和零的倍数。在这项工作中，我们开发了涉及概率密度函数的软零倍的概率。
In the classical probability in continuous random variables there is no distinguishing between the probability involving strict inequality and non strict inequality. Moreover a probability involves equality collapse to zero without distinguishing among the values that we would like that the random variable will have for comparison. This work presents Soft Probability by incorporating of Soft Numbers into probability theory. Soft Numbers are set of new numbers that are linear combinations of multiples of ones and multiples of zeros. In this work, we develop a probability involving equality as a soft zero multiple of a probability density function.
