Cost-sensitive sequential three-way decision modeling using a deep neural network
From MaRDI portal
Publication:2409099
DOI10.1016/j.ijar.2017.03.008zbMath1419.68078OpenAlexW2600072788MaRDI QIDQ2409099
Xian-zhong Zhou, Bing Huang, Hua-xiong Li, Li-bo Zhang
Publication date: 11 October 2017
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2017.03.008
Related Items (50)
Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations ⋮ The interval parameter optimization model based on three-way decision space and its application on ``green products recommendation ⋮ Cost-sensitive sequential three-way decision for information system with fuzzy decision ⋮ A three-way decision model based on cumulative prospect theory ⋮ Three-way decisions based blocking reduction models in hierarchical classification ⋮ A multilevel neighborhood sequential decision approach of three-way granular computing ⋮ Three sequential multi-class three-way decision models ⋮ Sequential multi-class three-way decisions based on cost-sensitive learning ⋮ The effectiveness of three-way classification with interpretable perspective ⋮ Three-way decision based on third-generation prospect theory with Z-numbers ⋮ Multiview sequential three-way decisions based on partition order product space ⋮ Three-way multi-attribute decision making under incomplete mixed environments using probabilistic similarity ⋮ Method for three-way decisions using ideal TOPSIS solutions at Pythagorean fuzzy information ⋮ A three-way decision approach with risk strategies in hesitant fuzzy decision information systems ⋮ A novel three-way decision approach in decision information systems ⋮ A sequential three-way decision model for classification with multilevel information gain and regret value optimization ⋮ A novel three-way decision model under multiple-criteria environment ⋮ Updating three-way decisions in incomplete multi-scale information systems ⋮ Three-way decision models based on multigranulation support intuitionistic fuzzy rough sets ⋮ The dynamic update method of attribute-induced three-way granular concept in formal contexts ⋮ Sequential three-way decisions in multi-category image recognition with deep features based on distance factor ⋮ Three-way decision and granular computing ⋮ Cost-sensitive feature selection via the \(\ell_{2,1}\)-norm ⋮ A sequential three-way approach to multi-class decision ⋮ Cost-sensitive approximate attribute reduction with three-way decisions ⋮ Cost-sensitive active learning with a label uniform distribution model ⋮ Cost-sensitive three-way class-specific attribute reduction ⋮ Multigranulation sequential three-way decisions based on multiple thresholds ⋮ Uncertainty measures for interval set information tables based on interval \(\delta \)-similarity relation ⋮ AH3: an adaptive hierarchical feature representation model for three-way decision boundary processing ⋮ Conflict analysis based on three-way decision for triangular fuzzy information systems ⋮ Three-way decisions with decision-theoretic rough sets in multiset-valued information tables ⋮ Three-way confusion matrix for classification: a measure driven view ⋮ Extending characteristic relations on an incomplete data set by the three-way decision theory ⋮ Strategy selection under entropy measures in movement-based three-way decision ⋮ The three-way-in and three-way-out framework to treat and exploit ambiguity in data ⋮ Three-way granular computing, rough sets, and formal concept analysis ⋮ Local temporal-spatial multi-granularity learning for sequential three-way granular computing ⋮ Incremental three-way neighborhood approach for dynamic incomplete hybrid data ⋮ Ground truthing from multi-rater labeling with three-way decision and possibility theory ⋮ A safe screening rule for accelerating weighted twin support vector machine ⋮ An improved three-way decision model based on prospect theory ⋮ Three-way decision based on confidence level change in rough set ⋮ A unified framework of dynamic three-way probabilistic rough sets ⋮ On transformations from semi-three-way decision spaces to three-way decision spaces based on triangular norms and triangular conorms ⋮ A three-way decision ensemble method for imbalanced data oversampling ⋮ Update of optimal scale in dynamic multi-scale decision information systems ⋮ A review of sequential three-way decision and multi-granularity learning ⋮ Multi-granularity sequential three-way recommendation based on collaborative deep learning ⋮ Measuring effectiveness of movement-based three-way decision using fuzzy Markov model
Uses Software
Cites Work
- An interval set model for learning rules from incomplete information table
- A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems
- Borderline vs. unknown: comparing three-valued representations of imperfect information
- A map of dependencies among three-valued logics
- Intuitionistic fuzzy multigranulation rough sets
- Local multigranulation decision-theoretic rough sets
- Exploiting collective knowledge with three-way decision theory: cases from the questionnaire-based research
- Tri-partition neighborhood covering reduction for robust classification
- Deriving three-way decisions from intuitionistic fuzzy decision-theoretic rough sets
- The superiority of three-way decisions in probabilistic rough set models
- Hierarchical structures and uncertainty measures for intuitionistic fuzzy approximation space
- Cost-sensitive rough set approach
- On rule acquisition in incomplete multi-scale decision tables
- On an optimization representation of decision-theoretic rough set model
- Feature selection with test cost constraint
- Incorporating logistic regression to decision-theoretic rough sets for classifications
- Triangular fuzzy decision-theoretic rough sets
- Information granulation and uncertainty measures in interval-valued intuitionistic fuzzy information systems
- Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets
- A Three-Way Decisions Clustering Algorithm for Incomplete Data
- Reducing the Dimensionality of Data with Neural Networks
- Rough Sets and Three-Way Decisions
- Learning Deep Architectures for AI
- Multi-granulation fuzzy rough sets
- Three-Valued Logics, Uncertainty Management and Rough Sets
This page was built for publication: Cost-sensitive sequential three-way decision modeling using a deep neural network
