Knowledge-based Intelligent Diagnosis of Ground Robot Collision with Non Detectable Obstacles
Journal of Intelligent and Robotic Systems
Efficient and interpretable fuzzy classifiers from data with support vector learning
Intelligent Data Analysis
Detection and characterization of physiological states in bioprocesses based on Hölder exponent
Knowledge-Based Systems
Classification process analysis of bioinformatics data with a support vector fuzzy inference system
NN'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Neural Networks - Volume 8
Efficient and interpretable fuzzy classifiers from data with support vector learning
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
Fuzzy Sets and Systems
A selection approach for scalable fuzzy integral combination
Information Fusion
Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems
Fuzzy Sets and Systems
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
International Journal of Approximate Reasoning
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Fuzzy model tuning using simulated annealing
Expert Systems with Applications: An International Journal
Mining efficient and interpretable fuzzy classifiers from data with support vector learning
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Information Sciences: an International Journal
Editorial: Special issue on interpretable fuzzy systems
Information Sciences: an International Journal
Design of fuzzy rule-based classifiers with semantic cointension
Information Sciences: an International Journal
A double axis classification of interpretability measures for linguistic fuzzy rule-based systems
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Generating understandable and accurate fuzzy rule-based systems in a java environment
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Expert Systems with Applications: An International Journal
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Knowledge acquisition based on learning of maximal structure fuzzy rules
Knowledge-Based Systems
Fuzzy partitions: A way to integrate expert knowledge into distance calculations
Information Sciences: an International Journal
Rule base simplification by using a similarity measure of fuzzy sets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we propose a new method to construct fuzzy partitions from data. The procedure generates a hierarchy including best partitions of all sizes from n to two fuzzy sets. The maximum size n is determined according to the data distribution and corresponds to the finest resolution level. We use an ascending method for which a merging criterion is needed. This criterion is based on the definition of a special metric distance suitable for fuzzy partitioning, and the merging is done under semantic constraints. The distance we define does not handle the point coordinates, but directly their membership degrees to the fuzzy sets of the partition. This leads to the introduction of the notions of internal and external distances. The hierarchical fuzzy partitioning is carried independently over each dimension, and, to demonstrate the partition potential, they are used to build fuzzy inference system using a simple selection mechanism. Due to the merging technique, all the fuzzy sets in the various partitions are interpretable as linguistic labels. The tradeoff between accuracy and interpretability constitutes the most promising aspect in our approach. Well known data sets are investigated and the results are compared with those obtained by other authors using different techniques. The method is also applied to real world agricultural data, the results are analyzed and weighed against those achieved by other methods, such as fuzzy clustering or discriminant analysis.