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中文摘要：
区间值决策信息系统是单值信息系统的一种推广,借助于属性区间值的相似程度在区间值决策系统上引入α极大相容类的概念,定义了一种新的条件信息熵,提出了相对属性内（外）重要度的度量方法,进一步,给出基于α条件信息熵的启发式相对约简算法,通过实验验证了该算法的有效性。
英文摘要：
Interval-valued decision information systems are generalized models of single-valued information sys- tems. A kind of a maximal tolerance class is introduced by similarity grade of attribute＇ s interval-value in inter- val-valued decision system. This paper defines new conditional entropy among attributes in interval-valued informa- tion systems and proposes two types of measurement of relative attribute importance, which is inner attribute impor- tance and outer attribute importance. Furthermore, a heuristic relative attribute reduction algorithm based on a condi- tional information entropy is given, and the validity of the algorithm is illustrated by some experiments.
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