Graded LinClosure and Its Role in Relational Data Analysis

We present graded extension of the algorithm LinClosure. Graded LinClosure can be used to compute degrees of semantic entailment from sets of fuzzy attribute implications. It can also be used together with graded extension of Ganter's NextClosure algorithm to compute non-redundant bases of data tables with fuzzy attributes. We present foundations, the algorithm, and illustrative examples.

• Type: Conference
• Year: 2006
• Where: CLA
• Authors: Radim Belohlávek, Vilém Vychodil
• Keywords: CLA 2006, CLA 2007, Fuzzy Attribute Implications, Fuzzy Attributes, Graded