Recognition Method for Key Knowledge Subjects in Knowledge Network

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In order to recognize the key knowledge subjects from knowledge network in large scale, an extracting method with dynamic interaction idea is constructed to gradually attain the subjective evidence information from organizational managers' knowledge, experiences and intuition. Then a dynamic knowledge matrix is utilized to suggest a deduction theorem that can effectively convert basic probability assignment (BPA) functions from subjective deduction information. After that, the Pignistic probability and the ABC analytical method are employed to illustrate the specific process of recognizing key knowledge subjects in the knowledge network. Finally a case simulation analysis is utilized to testify the validity and the feasibility of the proposed method.
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Knowledge Network; Knowledge Subject; Dynamic Knowledge Matrix; Evidence Theory; Recognition Method

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