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IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 08/2017, Volume 25, Issue 4, pp. 839 - 853
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 12/2014, Volume 22, Issue 6, pp. 1682 - 1698
Fuzzy rule interpolation offers a useful means to enhancing the robustness of fuzzy models by making inference possible in sparse rule-based systems. However,... 
Interpolation | Fuzzy sets | Extrapolation | missing antecedents | transformation-based interpolation | Backward interpolation | fuzzy rule interpolation (FRI) | Cognition | Safety | DESIGN | REDUCTION | SPACES | SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Fuzzy logic | Algorithms | Effectiveness | Fuzzy set theory | Robustness | Fuzzy
Journal Article
Information Sciences, ISSN 0020-0255, 07/2016, Volume 351, pp. 1 - 17
Fuzzy rule interpolation forms an important approach for performing inference with systems comprising sparse rule bases. Even when a given observation has no... 
Fuzzy rule interpolation | Transformation-based interpolation | Rough-fuzzy sets | COMPUTER SCIENCE, INFORMATION SYSTEMS | SYSTEMS | REASONING METHOD | Computer science | Case studies | Analysis | Fuzzy logic | Interpolation | Uncertainty | Effectiveness | Villages | Mathematical models | Representations | Fuzzy
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 08/2005, Volume 13, Issue 4, pp. 428 - 435
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2015, Volume 48, Issue 1, pp. 50 - 59
This paper presents a new architecture of a fuzzy decision tree based on fuzzy rules – fuzzy rule based decision tree (FRDT) and provides a learning algorithm.... 
Fuzzy confidence | Fuzzy rules | Fuzzy classifier | Decision tree | CLASSIFICATION | ALGORITHMS | LOGIC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Data mining | Analysis | Machine learning
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 10/2011, Volume 19, Issue 5, pp. 857 - 872
Journal Article
08/2018, 1st ed. 2019, ISBN 9811316538, 167
This book chiefly presents a novel approach referred to as backward fuzzy rule interpolation and extrapolation (BFRI). BFRI allows observations that directly... 
Interpolation | Artificial Intelligence (incl. Robotics) | Engineering | Simulation and Modeling | Computational Intelligence | Computer-Aided Engineering (CAD, CAE) and Design | Fuzzy logic | Fuzzy interpolation | Artificial intelligence | Backward fuzzy interpoltion | Approximation reasoning
eBook
Soft Computing, ISSN 1432-7643, 05/2018, Volume 22, Issue 10, pp. 3155 - 3170
A rule base covering the entire input domain is required for the conventional Mamdani inference and Takagi-Sugeno-Kang (TSK) inference. Fuzzy interpolation... 
Fuzzy inference system | Fuzzy interpolation | Fuzzy rule base generation | TSK | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | OPTIMIZATION | SCALE | IDENTIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information science
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 08/2001, Volume 9, Issue 4, pp. 506 - 515
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 08/2015, Volume 23, Issue 4, pp. 802 - 812
This paper introduces a new classifier design method based on a modification of the classical fuzzy c-means clustering. First, a new fuzzy c-means clustering... 
Training | Clustering methods | Force | Prototypes | Clustering algorithms | Indexes | Dispersion | rule base with good interpretability | Conditional fuzzy clustering | fuzzy classifier design | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Fuzzy logic | Classifiers | Algorithms | Conjugate gradients | Criteria | Fuzzy | Clustering | Fuzzy systems
Journal Article
Information Sciences, ISSN 0020-0255, 04/2016, Volume 336, pp. 75 - 91
Classification problems are significant because they constitute a meta-model for multiple theoretical and practical applications from a wide range of fields.... 
Optimization algorithm | Belief rule base | Classification problems | FEATURE-SELECTION | FUZZY | COMPUTER SCIENCE, INFORMATION SYSTEMS | MODEL | MULTICLASS CLASSIFICATION | PREDICTION | Algorithms | Rule based | Classifiers | Classification | Benchmarks | Activation | Mathematical models | Engines
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 07/2017, Volume 127, pp. 67 - 84
Fuzzy rule-based systems (FRBSs) are a common alternative for applying fuzzy logic in different areas and real-world problems. The schemes and algorithms used... 
Rule relevance | Orthogonal transformations | Interpretability | Fuzzy rule-based systems | MECHANISM | CURRENT RESEARCH TRENDS | SIMPLIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | GENETIC ALGORITHMS | COMPACT | REDUCTION | SELECTION | FEEDBACK | PROSPECTS | Analysis | Algorithms
Journal Article
Journal Article
Information Sciences, ISSN 0020-0255, 08/2019, Volume 495, pp. 65 - 77
Rule learning is a special type of machine learning approaches, and its key advantage is the generation of interpretable models, which provides a transparent... 
Fuzzy rules | Rule learning | Fuzzy classification | Machine learning | Computer science | Algorithms | Data mining | Analysis
Journal Article