概念格的区间值模糊图表示

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) Pub Date : 2012-11-01 DOI:10.1109/ISDA.2012.6416606

Prem Kumar Singh, C. Kumar

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引用次数: 28

摘要

具有模糊设定的形式概念分析(FCA)已被研究人员成功地应用于数据分析和表示。减少模糊形式概念的数量及其晶格结构是一个主要的问题。在本研究中，我们尝试将区间值模糊图与模糊概念格联系起来，以克服这一问题。结果表明，该方法在保留专门化和一般化概念的同时，减少了模糊形式概念及其格结构的数量。提出的链接将有助于研究人员在数据分析和处理。

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Interval-valued fuzzy graph representation of concept lattice

Formal Concept Analysis (FCA) with fuzzy setting has been successfully applied by researchers for data analysis and representation. Reducing the number of fuzzy formal concepts and their lattice structure are addressed as a major issues. In this study, we try to link between interval-valued fuzzy graph and fuzzy concept lattice to overcome from the issue. We show that proposed method reduces the number of fuzzy formal concepts and their lattice structure while preserving specialized and generalized concepts. Proposed link will be useful for the researcher in data analysis and processing.

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2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)

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