Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

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

Résumé

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.
Fichier principal
Vignette du fichier
978-3-642-18336-2_52_Chapter.pdf (89.94 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01562790 , version 1 (17-07-2017)

Licence

Paternité

Identifiants

Citer

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. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.425-433, ⟨10.1007/978-3-642-18336-2_52⟩. ⟨hal-01562790⟩
172 Consultations
61 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More