Rough concept analysis: a synthesis of rough sets and formal concept analysis
Fundamenta Informaticae - Special issue: rough sets
AMAST '95 Proceedings of the 4th International Conference on Algebraic Methodology and Software Technology
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Distance Measures Induced by Finite Approximation Spaces and Approximation Operators
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Satisfiability and Meaning of Formulas and Sets of Formulas in Approximation Spaces
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Rough set model based on formal concept analysis
Information Sciences: an International Journal
On galois connections and soft computing
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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We investigate Galois connections and their relations to the major theories of (qualitative) data analysis: Rough Set Theory (RST), Formal Concept Analysis (FCA) and John Stuart Mill Reasoning (JSM-Reasoning). Polarities, a type of contravariant Galois connections, and their relationships with data analysis has been already well-known. This paper shows how axialities, a type of covariant Galois connections, are related to problems adressed by data analysis and prove that they give rise to a number of interesting lattices.