基于语言真值概念格的隐性知识挖掘算法
Tacit knowledge mining algorithm based on linguistic truth-valued concept lattice
摘要：
本文是我们关于语言真值概念格研究工作的继续。为了给隐性知识的挖掘提供一个数学工具，建立了一个6元语言真值概念格的具体模型，并通过结构一致性给出了一个挖掘算法。具体而言，我们利用属性来刻画知识，提出了六元语言真值属性扩展语境和同类语境来刻画隐性知识，并研究了隐性知识形成的充要条件。分别给出了语言真值同类上下文的生成算法和语言真值概念格的构造算法。
英文摘要：
This paper is the continuation of our research work about linguistic truth-valued concept lattice. In order to provide a mathematical tool for mining tacit knowledge, we establish a concrete model of 6-ary linguistic truth-valued concept lattice and introduce a mining algorithm through the structure consistency. Specifically, we utilize the attributes to depict knowledge, propose the 6-ary linguistic truth-valued attribute extended context and congener context to characterize tacit knowledge, and research the necessary and sufficient conditions of forming tacit knowledge. We respectively give the algorithms of generating the linguistic truth-valued congener context and constructing the linguistic truth-valued concept lattice.
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