从信息熵的角度出发, 推导出反映群体混杂程度的递增链, 论证信息熵描述群体混杂程度的可行性。提出混杂指数的概念, 发现混杂指数比多个性状的标准差更便于描述群体的混杂程度, 并用实例验证混杂指数的可操作性。
From the viewpoint of information entropy , the increasing chain reflecting the intermix degree of population was dedueed and the feasibility of describing the intermix degree of population by information entropy was verified. The concept of intermix index was put forward, and it was found that intermix index was more convenient than the standard difference of multiple characters in describing intermix degree of population and the maneuverability of intermix index was verified by examples.