Reengineering of configurations based on mathematical concept analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
Attribute exploration with background knowledge
Theoretical Computer Science
A fast algorithm for building lattices
Information Processing Letters
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Machine Learning on the Basis of Formal Concept Analysis
Automation and Remote Control
On the Treatment of Incomplete Knowledge in Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Modal Logic for Evaluating Formulas in Incomplete Contexts
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
A multi-level conceptual data reduction approach based on the Lukasiewicz implication
Information Sciences: an International Journal - Special issue: Information technology
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Applying Concept Analysis to User-Session-Based Testing of Web Applications
IEEE Transactions on Software Engineering
International Journal of Approximate Reasoning
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Dependence-space-based attribute reductions in inconsistent decision information systems
International Journal of Approximate Reasoning
Logics from Galois connections
International Journal of Approximate Reasoning
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
Granular Computing and Knowledge Reduction in Formal Contexts
IEEE Transactions on Knowledge and Data Engineering
Short Communication: Concept lattice reduction using fuzzy K-Means clustering
Expert Systems with Applications: An International Journal
Approaches to attribute reduction in concept lattices induced by axialities
Knowledge-Based Systems
Relation between concept lattice reduction and rough set reduction
Knowledge-Based Systems
Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation
International Journal of Approximate Reasoning
A heuristic knowledge-reduction method for decision formal contexts
Computers & Mathematics with Applications
Mining gene expression data with pattern structures in formal concept analysis
Information Sciences: an International Journal
Knowledge reduction in decision formal contexts
Knowledge-Based Systems
Diverse reduct subspaces based co-training for partially labeled data
International Journal of Approximate Reasoning
An interval set model for learning rules from incomplete information table
International Journal of Approximate Reasoning
The reduction and fusion of fuzzy covering systems based on the evidence theory
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Approaches to knowledge reduction in generalized consistent decision formal context
Mathematical and Computer Modelling: An International Journal
Attribute Reduction in Formal Contexts: A Covering Rough Set Approach
Fundamenta Informaticae - Knowledge Technology
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Rough Concept Analysis: A Synthesis Of Rough Sets And Formal Concept Analysis
Fundamenta Informaticae
Multigranulation rough sets: From partition to covering
Information Sciences: an International Journal
Generalized probabilistic approximations of incomplete data
International Journal of Approximate Reasoning
An update logic for information systems
International Journal of Approximate Reasoning
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
International Journal of Approximate Reasoning
A categorical representation of algebraic domains based on variations of rough approximable concepts
International Journal of Approximate Reasoning
A novel cognitive system model and approach to transformation of information granules
International Journal of Approximate Reasoning
Updating attribute reduction in incomplete decision systems with the variation of attribute set
International Journal of Approximate Reasoning
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Incomplete decision contexts are a kind of decision formal contexts in which information about the relationship between some objects and attributes is not available or is lost. Knowledge discovery in incomplete decision contexts is of interest because such databases are frequently encountered in the real world. This paper mainly focuses on the issues of approximate concept construction, rule acquisition and knowledge reduction in incomplete decision contexts. We propose a novel method for building the approximate concept lattice of an incomplete context. Then, we present the notion of an approximate decision rule and an approach for extracting non-redundant approximate decision rules from an incomplete decision context. Furthermore, in order to make the rule acquisition easier and the extracted approximate decision rules more compact, a knowledge reduction framework with a reduction procedure for incomplete decision contexts is formulated by constructing a discernibility matrix and its associated Boolean function. Finally, some numerical experiments are conducted to assess the efficiency of the proposed method.