Fusing multiple interval-valued fuzzy monotonic decision trees
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Publication:6562312
DOI10.1016/j.ins.2024.120810MaRDI QIDQ6562312
Zhong Yan Li, Xin Wang, Han Su, Jiankai Chen, Jun-Hai Zhai
Publication date: 26 June 2024
Published in: Information Sciences (Search for Journal in Brave)
decision treesinterval-valued datafeature selectionmonotonic classificationfusion learningfuzzy dominance rough set
Cites Work
- Bagging predictors
- Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking
- Partially monotonic decision trees
- Fuzzy preference based rough sets
- User oriented ranking criteria and its application to fuzzy mathematical programming problems
- Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations.
- Rough approximation of a preference relation by dominance relations
- Learning rule sets and Sugeno integrals for monotonic classification problems
- Double-quantitative variable consistency dominance-based rough set approach
- Interval ordered information systems
- Information entropy for ordinal classification
- An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values
- Random forests
- Monotonic relation-constrained Takagi-Sugeno-Kang fuzzy system
- Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes
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