Conceptual Analysis of fuzzy data using FCA
نویسنده
چکیده
In order to analyze vague data set of uncertainty information, Fuzzy Formal Concept Analysis(FFCA) incorporates fuzzy set theory into Formal Concept Analysis(FCA). It extracts useful information with a unit of fuzzy concept from given fuzzy formal context with a confidence threshold. Then it constructs fuzzy lattice by order relations between the fuzzy concepts. In this paper, we introduce basic notions of FCA and FFCA, and developed the Fuzzy Formal Concept Analysis Wizard(FFCA-Wizard), that supports FFCA’s features. We demonstrate the process for discovering knowledge from uncertain data with our software, FFCA-Wizard. It can be applied some interesting areas such as traditional data mining, semantic web mining and so on. Key-Words: Fuzzy Set, Formal Concept Analysis, Fuzzy Formal Concept Analysis, Data Mining
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