Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context

Abstract : In this paper, for the low similarity computation accuracy of concept in the field of agriculture ontology mapping, formal concept analysis theory and rough set theory are introduced to similarity computation. Jointly considering attribute hierarchies in concept lattice, the semantic hierarchy of the concepts are weighted differently, and the theory and methods of similarity calculation of rough formal concept in missing-value context is given. Finally, similarity computing model is prospected. Experimental results show the model has a high computational accuracy.
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Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.425-433, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_52〉
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Wang Kai, Li Shao-Wen, Zhang You-Hua, Liu Chao. Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.425-433, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_52〉. 〈hal-01562790〉

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