Semantics and computation of the generalized modus ponens: the long paper
International Journal of Approximate Reasoning
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Genetic Algorithms and Soft Computing
Genetic Algorithms and Soft Computing
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Machine Learning
Editorial: fuzzy set and possibility theory-based methods in artificial intelligence
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Expert guided integration of induced knowledge into a fuzzy knowledge base
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Is there a need for fuzzy logic?
Information Sciences: an International Journal
International Journal of Intelligent Systems
Expert-Driven Knowledge Discovery
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Expert Systems with Applications: An International Journal
Looking for a good fuzzy system interpretability index: An experimental approach
International Journal of Approximate Reasoning
Practical inference with systems of gradual implicative rules
IEEE Transactions on Fuzzy Systems
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
Learning interpretable fuzzy inference systems with FisPro
Information Sciences: an International Journal
Real-time system for monitoring driver vigilance
IEEE Transactions on Intelligent Transportation Systems
Semantic constraints for membership function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Checking the coherence and redundancy of fuzzy knowledge bases
IEEE Transactions on Fuzzy Systems
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Generating an interpretable family of fuzzy partitions from data
IEEE Transactions on Fuzzy Systems
Orthogonal least squares learning algorithm for radial basis function networks
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
Computers and Electronics in Agriculture
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The present paper aims to demonstrate the interest of fuzzy inference systems in system modeling when human interaction is important. It discusses the originality of FIS and their capability to integrate expertise and rule learning from data into a single framework, analyzing their place relatively to concurrent approaches. An open source software implementation is presented, with a focus on the useful features for modeling. Two real world case studies are presented to illustrate the approach and the software utility.