The Strength of Weak Learnability
Machine Learning
Why mathematical morphology needs complete lattices
Signal Processing
Machine Learning
Fuzzy lattice neurocomputing (FLN) models
Neural Networks
Sum Versus Vote Fusion in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms
Journal of Intelligent Information Systems
The Journal of Machine Learning Research
Automatic Analysis of Multimodal Group Actions in Meetings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence)
Proposition of common classifier construction for pattern recognition with context task
Knowledge-Based Systems
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Guest Editorial: Applications of ensemble methods
Information Fusion
Handbook of Granular Computing
Handbook of Granular Computing
An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust combination rules for evidence theory
Information Fusion
Majority voting combination of multiple case-based reasoning for financial distress prediction
Expert Systems with Applications: An International Journal
A model-free ensemble method for class prediction with application to biomedical decision making
Artificial Intelligence in Medicine
Editorial: Hybrid learning machines
Neurocomputing
Guest Editorial: Special Issue on Biologically-Inspired Information Fusion
Information Fusion
A constructive method for the definition of interval-valued fuzzy implication operators
Fuzzy Sets and Systems
Parallel and multistage fuzzy inference based on families of α-level sets
Information Sciences: an International Journal
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
On voting-based consensus of cluster ensembles
Pattern Recognition
A lattice computing approach for on-line fMRI analysis
Image and Vision Computing
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
Distributed text classification with an ensemble kernel-based learning approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
Information Sciences: an International Journal
Information Sciences: an International Journal
Ensemble clustering in the belief functions framework
International Journal of Approximate Reasoning
Active learning from stream data using optimal weight classifier ensemble
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the role of complete lattices in mathematical morphology: From tool to uncertainty model
Information Sciences: an International Journal
Information Sciences: an International Journal
Lattice independent component analysis for functional magnetic resonance imaging
Information Sciences: an International Journal
Order metrics for semantic knowledge systems
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Granular fuzzy inference system (FIS) design by lattice computing
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Switching between selection and fusion in combining classifiers: anexperiment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ensemble Algorithms in Reinforcement Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory
IEEE Transactions on Fuzzy Systems
Guest Editorial Evolving Fuzzy Systems–-Preface to the Special Section
IEEE Transactions on Fuzzy Systems
Fuzzy inference based on families of α-level sets
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
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By ''fusion'' this work means integration of disparate types of data including (intervals of) real numbers as well as possibility/probability distributions defined over the totally-ordered lattice (R,=[0,1] result in the Cartesian product lattice (F^N,@?) towards decision-making based on reasoning. In conclusion, the space (F^N,@?) emerges as a formal framework for the development of hybrid intelligent fusion systems/schemes. A fuzzy lattice reasoning (FLR) ensemble scheme, namely FLR pairwise ensemble, or FLRpe for short, is introduced here for sound decision-making based on descriptive knowledge (rules). Advantages include the sensible employment of a sparse rule base, employment of granular input data (to cope with imprecision/uncertainty/vagueness), and employment of all-order data statistics. The advantages as well as the performance of our proposed techniques are demonstrated, comparatively, by computer simulation experiments regarding an industrial dispensing application.