An algorithm based on rough set theory for extracting rules from data class by class is proposed.
提出一种基于粗糙集理论的分类别进行规则抽取的算法。
According to the multi-objective decision theory, the class synthetic exponent method has been set up and used to evaluate the water quality in the ideal point model.
依据多目标决策理论，在理想点模型中应用类综合指数法来对水质进行评价。
Some properties of set theory of the proposed approach are discussed. The ambiguity with a given output class is estimated with two methods of the distance measure and the entropy measure.
讨论了其中的一些集合理论性质，并对输出类别的模糊粗糙性给出了距离度量和熵度量两种模糊度量方法。
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