F3MCNN: a fuzzy minimum mean maximum clustering neural network
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology
Fuzzy Sets and Systems - Theme: Learning and modeling
Effective neural LUM smoother for image smoothing applications
Machine Graphics & Vision International Journal
Review: Meta knowledge of intelligent manufacturing: An overview of state-of-the-art
Applied Soft Computing
A hybrid system for multiobjective problems - A case study in NP-hard problems
Knowledge-Based Systems
Optimization of fuzzy partitions for inductive reasoning using genetic algorithms
International Journal of Systems Science
TS-fuzzy modeling based on ε-insensitive smooth support vector regression
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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From the Publisher:Applications of fuzzy theory are maturing and multiplying at a phenomenal rate because of the essential role that "fuzzy logic" plays in the effective design of many industrial and decision-support systems. Unlike traditional computer logic involving clearly true and false decisions, a fuzzy logic system makes the best choice after weighing a range of contributing variables. In this way, the implementation of fuzzy logic algorithms in hardware/software systems achieves the best results in a wide variety of practical, real-world applications. This comprehensive set of volumes presents authoritative chapters ranging from fundamental implementation and modeling techniques to major industrial, manufacturing, and commercial applications. Coverage includes image, visual, and pattern processing, control methods and applications, combined fuzzy neural and adaptive fuzzy systems, and other important applications areas such as risk assessment. The information and examples provided will help the reader to master the essential trade-offs that guide systems design according to application requirements and cost-performance issues.