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Soft Computing

Erschienen in:

01.06.2011 | Focus

Rule acquisition and attribute reduction in real decision formal contexts

verfasst von: Hong-Zhi Yang, Leung Yee, Ming-Wen Shao

Erschienen in: Soft Computing | Ausgabe 6/2011

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Abstract

Formal Concept Analysis of real set formal contexts is a generalization of classical formal contexts. By dividing the attributes into condition attributes and decision attributes, the notion of real decision formal contexts is introduced. Based on an implication mapping, problems of rule acquisition and attribute reduction of real decision formal contexts are examined. The extraction of “if–then” rules from the real decision formal contexts, and the approach to attribute reduction of the real decision formal contexts are discussed. By the proposed approach, attributes which are non-essential to the maximal s rules or l rules (to be defined later in the text) can be removed. Furthermore, discernibility matrices and discernibility functions for computing the attribute reducts of the real decision formal contexts are constructed to determine all attribute reducts of the real set formal contexts without affecting the results of the acquired maximal s rules or l rules.

Vorheriger Artikel Membership evaluation and feature selection for fuzzy support vector machine based on fuzzy rough sets

Nächster Artikel Case study of inaccuracies in the granulation of decision trees

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Titel: Rule acquisition and attribute reduction in real decision formal contexts
verfasst von: Hong-Zhi Yang
Leung Yee
Ming-Wen Shao
Publikationsdatum: 01.06.2011
Verlag: Springer-Verlag
Erschienen in: Soft Computing / Ausgabe 6/2011
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-010-0578-y

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