Abstract
Composites similarity analysis is an important link of composites review, it can not only to declare composites review rechecking, still help composites applicants promptly have the research content relevant progress and avoid duplication. This paper mainly studies the composites similarity model in composites review. With the actual experience of composites management, based on the author’s knowledge set theory, paper analyzes deeply knowledge set representation of composites knowledge, improves the similarity calculation of composites knowledge, and builds the composites similarity level model.
Highlights
In the actual composites quality control, we comprehensive understanding of the whole process of composites audit and start thinking in practice about the existing problems about current composites audit
Knowledge set theory is brought out by the author based on the extension theory and the analysis of the characteristics of knowledge, which is a kind of effective knowledge representation method
With orderly triad Knowledge set (KS) = (N, C, V) to represent knowledge set, N, C, V three called three elements of knowledge set, including KS, N is knowledge carrier, C is carrier feature set {c1, c2,... , cn}, V is quantum set of N about C {v1, v2,..., vn}
Summary
In the actual composites quality control, we comprehensive understanding of the whole process of composites audit and start thinking in practice about the existing problems about current composites audit. In composites auditing, mostly is to declare application composites, and no form to analyze application composites, appeared on a particular research by the repetitive content, waste the money, waste a great deal of resources. How to explore the research content repetitive composites can improve the effectiveness of the research. In the composites audit need to declare in similarity calculation between application composites and the previous composites, sure the similar degree between application composites and previous composites to judge whether the research content of application composites already improved, this is the deep analysis to the composites audit, need the support of the corresponding algorithms
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