Interpretation of fuzzy attribute subsets in Generalized One-Sided Concept Lattices

Result code in IS VaVaI
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Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Interpretation of fuzzy attribute subsets in Generalized One-Sided Concept Lattices
Original language description
In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized One-sided Concept Lattices (GOSCL). This type of concept lattices represent generalization of Formal Concept Analysis (FCA) suitable for analysis of data tables with different types of at- tributes. FCA as well as generalized one-sided concept lattices represent conceptual data mining methods. With growing number of attributes the interpretation of fuzzy subsets may become un- clear, hence another interpretation of this fuzzy attribute subsets can be valuable. The originality of the presented method is based on the usage of one-sided concept lattices derived from submod- els of former object-attribute model by grouping attributes with the same truth valuestructure. This leads to new method for attribute reduction in GOSCL environment.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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