Incomplete decision contexts: approximate concept construction, rule acquisition and knowledge reduction
From MaRDI portal
Publication:2375351
DOI10.1016/j.ijar.2012.07.005zbMath1266.68172OpenAlexW2087307984MaRDI QIDQ2375351
Yuejin Lv, Jinhai Li, Chang-Lin Mei
Publication date: 13 June 2013
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2012.07.005
formal concept analysisrough set theoryknowledge reductionrule acquisitionincomplete contextincomplete decision context
Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (69)
Comparison of reduction in formal decision contexts ⋮ A comprehensive survey on formal concept analysis, its research trends and applications ⋮ Attribute reduction of SE-ISI concept lattices for incomplete contexts ⋮ A dynamic approach for updating the lower approximation in adjustable multi-granulation rough sets ⋮ Knowledge representation using interval-valued fuzzy formal concept lattice ⋮ Rules acquisition of formal decision contexts based on three-way concept lattices ⋮ A knowledge reduction approach for linguistic concept formal context ⋮ Attribute reduction for sequential three-way decisions under dynamic granulation ⋮ Interface between logical analysis of data and formal concept analysis ⋮ On relationship between three-way concept lattices ⋮ A heuristic concept construction approach to collaborative recommendation ⋮ Rough set decision algorithms for modeling with uncertainty ⋮ Constructing three-way concept lattice based on the composite of classical lattices ⋮ Dependence space models to construct concept lattices ⋮ Tolerance Relations and Rough Approximations in Incomplete Contexts ⋮ Attribute granulation in fuzzy formal contexts based on \(L\)-fuzzy concepts ⋮ Granule description with undetermined values in a three-way epistemic perspective ⋮ Three-way reduction for formal decision contexts ⋮ Updating three-way decisions in incomplete multi-scale information systems ⋮ On attribute reduction in concept lattices: the polynomial time discernibility matrix-based method becomes the CR-method ⋮ A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems ⋮ Three-way concept analysis for incomplete formal contexts ⋮ Data Associations Between Two Hierarchy Trees ⋮ Covering-based multi-granulation fuzzy rough sets ⋮ Cost-sensitive approximate attribute reduction with three-way decisions ⋮ A novel incremental attribute reduction approach for dynamic incomplete decision systems ⋮ Connections between covering-based rough sets and concept lattices ⋮ Knowledge reduction in formal contexts using non-negative matrix factorization ⋮ Multigranulation rough sets: from partition to covering ⋮ Variable-precision three-way concepts in \textbf{L}-contexts ⋮ Multiple multidimensional linguistic reasoning algorithm based on property-oriented linguistic concept lattice ⋮ Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice ⋮ Textural dependency and concept lattices ⋮ Intuitionistic fuzzy multigranulation rough sets ⋮ Local multigranulation decision-theoretic rough sets ⋮ A multiple-valued logic approach for multigranulation rough set model ⋮ A novel approach for solving rough multi-objective transportation problem: development and prospects ⋮ An information fusion approach by combining multigranulation rough sets and evidence theory ⋮ \(\ast\)-reductions in a knowledge base ⋮ Knowledge reduction of dynamic covering decision information systems when varying covering cardinalities ⋮ Three-way concept learning based on cognitive operators: an information fusion viewpoint ⋮ Medical diagnoses using three-way fuzzy concept lattice and their Euclidean distance ⋮ A comparative study of decision implication, concept rule and granular rule ⋮ Concept learning via granular computing: a cognitive viewpoint ⋮ Relations of reduction between covering generalized rough sets and concept lattices ⋮ A fast attribute reduction method for large formal decision contexts ⋮ Attribute reduction in intuitionistic fuzzy concept lattices ⋮ General framework for consistencies in decision contexts ⋮ Object-oriented interval-set concept lattices ⋮ Certain information granule system as a result of sets approximation by fuzzy context ⋮ Reinventing known results in FCA: notes on two recently published algorithms for computation of formal concepts ⋮ Axiomatic approaches to rough approximation operators via ideal on a complete completely distributive lattice ⋮ Three-way cognitive concept learning via multi-granularity ⋮ Attribute reduction in generalized one-sided formal contexts ⋮ A methodology for analysis of concept lattice reduction ⋮ A theoretical study on the object (property) oriented concept lattices based on three-way decisions ⋮ A representation of continuous domains via relationally approximable concepts in a generalized framework of formal concept analysis ⋮ Three-way dual concept analysis ⋮ Attribute implications in \textbf{L}-concept analysis with positive and negative attributes: validity and properties of models ⋮ Steps towards causal Formal Concept Analysis ⋮ Set-theoretic methodology using fuzzy sets in rule extraction and validation -- consistency and coverage revisited ⋮ On attribute reduction in concept lattices: methods based on discernibility matrix are outperformed by basic clarification and reduction ⋮ Characterizing reducts in multi-adjoint concept lattices ⋮ Formal concept analysis perspectives on three-way conflict analysis ⋮ Multi-adjoint fuzzy rough sets: definition, properties and attribute selection ⋮ An update logic for information systems ⋮ A novel cognitive system model and approach to transformation of information granules ⋮ Updating attribute reduction in incomplete decision systems with the variation of attribute set ⋮ A categorical representation of algebraic domains based on variations of rough approximable concepts
This page was built for publication: Incomplete decision contexts: approximate concept construction, rule acquisition and knowledge reduction
