Discovering knowledge from fuzzy concept lattice
Data mining and computational intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
Formal Concept Analysis: Foundations and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Variable threshold concept lattice and dependence space
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Querying a bioinformatic data sources registry with concept lattices
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
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Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Two FCA-Based Methods for Mining Gene Expression Data
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Interval-Valued Fuzzy Formal Concept Analysis
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Interval-Valued Fuzzy Galois Connections: Algebraic Requirements and Concept Lattice Construction
Fundamenta Informaticae - Methodologies for Intelligent Systems
BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery
International Journal of Metadata, Semantics and Ontologies
Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Possibility theory and formal concept analysis: context decomposition and uncertainty handling
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Interval data and nested lattices
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Handling different format initial data in a cooperative decision making process
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Extended Galois derivation operators for information retrieval based on fuzzy formal concept lattice
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Two complementary classification methods for designing a concept lattice from interval data
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Why and how knowledge discovery can be useful for solving problems with CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Many valued context for knowledge evaluation
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
Editorial: A topic-specific crawling strategy based on semantics similarity
Data & Knowledge Engineering
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In this paper we present an extension of the Galois connection to deal with many-valued formal contexts. We define a many-valued Galois connection with respect to similarity between attribute values in a many-valued context. Then, we define many-valued formal concepts and many-valued concept lattices. Depending on a similarity threshold, many-valued concept lattices may have different levels of precision. This feature makes them very useful for multilevel conceptual clustering. Many-valued concept lattices are also used in a new lattice-based information retrieval approach for efficiently answering complex queries.