Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Fuzzy Measures on the Gene Ontology for Gene Product Similarity
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fuzzy Logic and the Semantic Web (Capturing Intelligence)
Fuzzy Logic and the Semantic Web (Capturing Intelligence)
Factor Analysis of Incidence Data via Novel Decomposition of Matrices
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Towards an automatic fuzzy ontology generation
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Computing the lattice of all fixpoints of a fuzzy closure operator
IEEE Transactions on Fuzzy Systems - Special section on computing with words
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The two main approaches to fuzzy concept lattice creation are the one-sided threshold approach and the fuzzy closure approach. These two methods are applied to gene annotation data files that are converted into fuzzy formal contexts by translating evidence codes into a degree of evidence strength in [0, 1]. Fuzzy factor analysis is also applied to this same test data. These three methods are briefly described and then compared based on their results using the gene annotation data files.