Then, starting with the concept of information entropy and analysis about cross method for rare event simulation, this thesis introduces the basic idea of cross entropy optimization method.

接着从信息熵的概念谈起，通过对小概率事件仿真方法的分析，引出交叉熵优化方法的思想。

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Minimax problem is a sort of non-differentiable optimization problem and the entropy function method provides a efficient approach to solve such kind of problems.

极大极小问题是一类不可微优化问题，熵函数法是求解这类问题的一种有效算法。

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Especially in order to give index's weight correctly, a new method is put forward based onthe generalized maximum entropy principle and optimization theory.

特别针对指标权重的确定问题，提出了基于广义最大熵原理和优化理论的新赋权方法。

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