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We start with the fuzzy binomial. Then we discuss the fuzzy Poisson probability mass function.
Let $E$ be a non-empty, proper subset of $X=\{x_1,x_2,x_3,...,x_n\}$. Let $P(E)=p$ so that $P(E^{‘})=1-p$ where $p\in (0,1)$. Suppose we have $m$ independent repetitions of this experiment. If $P(r)$ is the probability of $r$ successes in the $m$ experiments, then $$P(r)=C^{r}_{m}p^{r}(1-p)^{m-r}$$ for $r=0,1,...,m$ gives the binomial distribution.
We substitute
Fuzzy Probability Theory---(3)Discrete Random Variables
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原文地址：http://www.cnblogs.com/chaseblack/p/5962752.html
