Lattice model of browsable data spaces
Information Sciences: an International Journal
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Effective Reformulation of Boolean Queries with Concept Lattices
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
CEM - A Conceptual Email Manager
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
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
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
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In this paper, we propose an information retrieval approach based on interval-valued fuzzy theory which allows to express the total and partial ignorance in the knowledge domain (i.e the incidence matrix). Hence, we propose i) to deal with the presence of partial or total ignorance in the knowledge domain; ii) the application of different interval-valued fuzzy generalized derivations operators to express different queries forms, namely conjunctive and disjunctive queries as well as negation in the queries; iii) the linearization of the lattice structure of formal concepts satisfying a given query based on hamming distance in order to enhance lattice navigation.