Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
NEFCLASS-X — a Soft Computing Tool to Build Readable Fuzzy Classifiers
BT Technology Journal
An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning
Fuzzy Sets and Systems - Data bases and approximate reasoning
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Hybrid identification in fuzzy-neural networks
Fuzzy Sets and Systems - Theme: Learning and modeling
A Comparison of Texture Features Based on SVM and SOM
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
International Journal of Approximate Reasoning
A weighted fuzzy classifier and its application to image processing tasks
Fuzzy Sets and Systems
Fuzzy c-means clustering methods for symbolic interval data
Pattern Recognition Letters
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Fuzzy-based algorithm for color recognition of license plates
Pattern Recognition Letters
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Checking the coherence and redundancy of fuzzy knowledge bases
IEEE Transactions on Fuzzy Systems
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
Performance analysis of colour descriptors for parquet sorting
Expert Systems with Applications: An International Journal
Fuzzy logic-based pre-classifier for tropical wood species recognition system
Machine Vision and Applications
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In this paper, a classification method based on fuzzy linguistic rules is exposed. It is applied for the recognition of the gradual color of wood in an industrial context. The wood, which is a natural material, implies uncertainty in the definition of its color. Moreover, the timber context leads obtaining imprecise data. Several factors can have an impact on the sensors (ageing of the acquisition system, variation of the ambient temperature, etc.). Finally, the data sets are often small and incomplete. Thus the proposed method must work within these constraints, and must be compatible with the time-constraint of the system. This generally imposes a weak complexity of the recognition system. The Fuzzy Rule Classifier is split in two main parts, the fuzzification step and the rule generation step. To improve the tuning of this classifier, a specific fuzzification method is presented and compared with more classical ones. Several comparisons have been made with other classification method such as neural network or support vector machine. This experimental study showed the suitability of the proposed approach essentially in term of generalization capabilities from small data sets, and recognition rate improvement.