The dynamic update method of attribute-induced three-way granular concept in formal contexts

DOI10.1016/j.ijar.2019.12.014zbMath1490.68219OpenAlexW3000300534WikidataQ126398545 ScholiaQ126398545MaRDI QIDQ2206474

Binghan Long, Lei Yang, Xiaoyan Zhang, Wei-Hua Xu

Publication date: 22 October 2020

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2019.12.014

zbMATH Keywords

granular computingattribute-induceddynamic formal contextextension and connotationthree-way granular concept

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (12)

A novel granular computing model based on three-way decision ⋮ A three-way clustering approach using image enhancement operations ⋮ On relationship between three-way concept lattices ⋮ The structure theorem of three-way concept lattice ⋮ Class-specific information measures and attribute reducts for hierarchy and systematicness ⋮ A novel three-way group investment decision model under intuitionistic fuzzy multi-attribute group decision-making environment ⋮ A three-way decision approach with prospect-regret theory via fuzzy set pair dominance degrees for incomplete information systems ⋮ Knowledge discovery and updating under the evolution of network formal contexts based on three-way decision ⋮ An incremental learning mechanism for object classification based on progressive fuzzy three-way concept ⋮ A model of three-way decisions for knowledge harnessing ⋮ Editorial. Formal concept analysis, rough sets, and three-way decisions ⋮ Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On two novel types of three-way decisions in three-way decision spaces
• Three-way concept learning based on cognitive operators: an information fusion viewpoint
• Concept learning via granular computing: a cognitive viewpoint
• Granular computing applied to ontologies
• Three-way decision and granular computing
• Cost-sensitive active learning with a label uniform distribution model
• Multi-objective attribute reduction in three-way decision-theoretic rough set model
• On interestingness measures of formal concepts
• Editorial: Granular computing based machine learning in the era of big data
• Three-way cognitive concept learning via multi-granularity
• A novel approach to information fusion in multi-source datasets: a granular computing viewpoint
• Fuzzy information granular structures: a further investigation
• Three-way dual concept analysis
• Incorporating logistic regression to decision-theoretic rough sets for classifications
• Set-based granular computing: a lattice model
• Cost-sensitive sequential three-way decision modeling using a deep neural network
• Three-Way Formal Concept Analysis
• RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS
• Rough Sets and Current Trends in Computing
• Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

This page was built for publication: The dynamic update method of attribute-induced three-way granular concept in formal contexts