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模糊数学方法应用于教育(乃至社会科学)研究要比经典(确定性)数学方法妥贴得多。但这并不是说可以不加思索,不切实际地搬用或套用模糊数学中各种现成的结论。这种现象散见于各刊物的文章不少,如,应引起注意和思考。本文举两例加以说明。一、教育评估中的权重处理为使问题说得具体,不妨设A={x_1,…,x_n}为评判员集合,x_1,x_2,…,x_n为评判员,它可以代表身分,如领导,同行专家,学生;也可以代表个人,如张三,李四,
The application of fuzzy mathematics to education (or even social science) is much better than classical (deterministic) mathematics. However, this does not mean that we can unreasonably apply or apply various ready-made conclusions in fuzzy mathematics. This phenomenon is scattered in many articles in various publications, for example, should attract attention and thinking. This article gives two examples to illustrate. First, the weights of education evaluation in order to make the issue more concrete, may wish to set A = {x_1, ..., x_n} for the set of judges, x_1, x_2, ..., x_n for the judge, it can represent the identity, such as leadership, Peer experts, students; can also represent individuals, such as Zhang San, Li Si,