Data mining for design and manufacturing
Information Integration for Robot Learning Using Neural Fuzzy Systems
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Granular computing in neural networks
Granular computing
Architecture and design of a diagnostic information fusion system
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
On the fusion of multi-granularity linguistic label sets in group decision making
Computers and Industrial Engineering
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
Fuzzy Sets and Systems
Mathematics and Computers in Simulation
Communicating between information systems
Information Sciences: an International Journal
A robust clustering procedure for fuzzy data
Computers & Mathematics with Applications
A class of fuzzy clusterwise regression models
Information Sciences: an International Journal
Clustering fuzzy data using the fuzzy EM algorithm
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
A modified SOM learning algorithm for mixed types of symbolic and fuzzy data
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Communication between information systems with covering based rough sets
Information Sciences: an International Journal
A Fuzzy Clustering Model for Fuzzy Data with Outliers
International Journal of Fuzzy System Applications
A granular neural network: Performance analysis and application to re-granulation
International Journal of Approximate Reasoning
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Fuzzy clustering algorithm for fuzzy data based on α-cuts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
Hierarchical tree clustering of fuzzy number
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Presented is a model that integrates three data types (numbers, intervals, and linguistic assessments). Data of these three types come from a variety of sensors. One objective of sensor-fusion models is to provide a common framework for data integration, processing, and interpretation. That is what our model does. We use a small set of artificial data to illustrate how problems as diverse as feature analysis, clustering, cluster validity, and prototype classifier design can all be formulated and attacked with standard methods once the data are converted to the generalized coordinates of our model. The effects of reparameterization on computational outputs are discussed. Numerical examples illustrate that the proposed model affords a natural way to approach problems which involve mixed data types