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2018 | OriginalPaper | Buchkapitel

Study of the Relevance of Objects and Attributes of L-fuzzy Contexts Using Overlap Indexes

verfasst von : Cristina Alcalde, Ana Burusco

Erschienen in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Verlag: Springer International Publishing

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Abstract

Objects and attributes play an important role in an L-fuzzy context. From the point of view of the L-fuzzy concepts, some of them can be more relevant than others. Besides, the number of objects and attributes of the L-fuzzy context is one of the most important factors that influence in the size of the L-fuzzy concept lattice. In this paper, we define different rankings for the objects and the attributes according to their relevance in the L-fuzzy concept lattice and using different overlap indexes. These rankings can be useful for the reduction of the L-fuzzy context size.

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Vorheriges Kapitel Discrete Bacterial Memetic Evolutionary Algorithm for the Time Dependent Traveling Salesman Problem

Nächstes Kapitel FCA Attribute Reduction in Information Systems

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Titel: Study of the Relevance of Objects and Attributes of L-fuzzy Contexts Using Overlap Indexes
verfasst von: Cristina Alcalde
Ana Burusco
Verlag: Springer International Publishing
Buch: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Print ISBN: 978-3-319-91472-5

Electronic ISBN: 978-3-319-91473-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91473-2_46

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