Tacit Knowledge Mining Algorithm Based on Linguistic Truth-Valued Concept Lattice

Natural language processing is one of the important research in the field of artificial intelligence, and tacit knowledge expressed by natural language is the research hotspot. In order to provide a mathematical tool for mining tacit knowledge, we establish a concrete model of 6-ary linguistic truth-valued concept lattice to deal with natural language and introduce a mining algorithm of tacit knowledge through the structure consistency. Specifically, we utilize the attributes to depict knowledge, propose the 6-ary linguistic truth-valued object tacit context and homotype context to characterize tacit knowledge, and research the necessary and sufficient conditions of forming tacit knowledge. We respectively give the generating algorithm of the linguistic truth-valued homotype context and the constructing algorithm the 6-ary linguistic truth-valued concept lattice.

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