Belief rule-based classification system: extension of FRBCS in belief functions framework

DOI10.1016/j.ins.2015.03.005zbMath1390.68535OpenAlexW2004139117MaRDI QIDQ1749596

Quan Pan, Yan Liang, Xiaoxue Feng, Thierry Denoeux, Lianmeng Jiao

Publication date: 17 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.03.005

zbMATH Keywords

pattern classificationfuzzy rule-based classification systembelief functions theorybelief rule-based classification systempattern noise

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (12)

Proposition and learning of some belief function contextual correction mechanisms ⋮ Ensemble extended belief rule-based systems with different similarity measures for classification problems ⋮ A Compact Belief Rule-Based Classification System with Evidential Clustering ⋮ Sensor fault diagnosis and tolerant control based on belief rule base for complex system ⋮ A fast belief rule base generation and reduction method for classification problems ⋮ A valuation-based system approach for risk assessment of belief rule-based expert systems ⋮ Joint Feature Transformation and Selection Based on Dempster-Shafer Theory ⋮ Interpretable regularized class association rules algorithm for classification in a categorical data space ⋮ A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm ⋮ EARC: evidential association rule-based classification ⋮ Canonical decomposition of belief functions based on Teugels' representation of the multivariate Bernoulli distribution ⋮ Random clustering forest for extended belief rule-based system

Uses Software

• UCI-ml
• C4.5
• FURIA

Cites Work

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• Analyzing the degree of conflict among belief functions
• Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
• Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis
• Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
• Fuzzy sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Advances in Intelligent Data Analysis VI

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