提出了一种基于条件信息熵的知识约简启发式算法，并指出该算法的时间复杂度是多项式的。
A heuristic algorithm based on conditional information entropy for knowledge reduction is proposed, and the complexity of this algorithm is analyzed.
提出新的条件信息熵及其高效知识约简算法。
A new conditional entropy and knowledge reduction algorithms are proposed.
知识存量、信息熵、知识语义是反映企业内部知识容量，系统有序性以及内容的三个指标。
Information storage, entropy and connotation reflect three guidelines of an enterprise, that is, inner knowledge capacity, systematic sequence and content.
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