Granular networks and granular computing
New learning paradigms in soft computing
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
Selected Papers from the 5th European Conference on Artificial Evolution
Generation of Design Suggestions for Coarse-Grain Reconfigurable Architectures
FPL '00 Proceedings of the The Roadmap to Reconfigurable Computing, 10th International Workshop on Field-Programmable Logic and Applications
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
The Body, the Mind or the Eye, First?
RoboCup-99: Robot Soccer World Cup III
Design-Space Exploration of Low Power Coarse Grained Reconfigurable Datapath Array Architectures
PATMOS '00 Proceedings of the 10th International Workshop on Integrated Circuit Design, Power and Timing Modeling, Optimization and Simulation
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology
Technologies for constructing intelligent systems
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology
Fuzzy Sets and Systems - Theme: Learning and modeling
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
A fuzzy system for helping medical diagnosis of malformations of cortical development
Journal of Biomedical Informatics
Optimization of fuzzy partitions for inductive reasoning using genetic algorithms
International Journal of Systems Science
Information Sciences: an International Journal
Granular Computing and Rough Sets to Generate Fuzzy Rules
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A modified pittsburg approach to design a genetic fuzzy rule-based classifier from data
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Fuzzy logic controllers optimization using genetic algorithms and particle swarm optimization
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Optimization of embedded fuzzy rule-based systems in wireless sensor network nodes
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
International Journal of Approximate Reasoning
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
| Hi-index | 0.00 |
From the Publisher:Fuzzy Modelling Paradigms and Practice provides an up-to-date and authoritative compendium of fuzzy models, identification algorithms and applications. The objective of this book is to provide researchers and practitioners involved in the development of models for complex systems with an understanding of fuzzy modelling, and an appreciation of what makes these models unique. The chapters are organized into three major parts covering relational models, fuzzy neural networks, and rule-based models. The material on relational models includes theory along with a large number of implemented case studies, including some on speech recognition, prediction, and ecological systems. The part on fuzzy neural networks covers some fundamentals, such as neurocomputing, fuzzy neurocomputing, etc., identifies the nature of the relationship that exists between fuzzy systems and neural networks, and includes extensive coverage of their architectures. The last part addresses the main design principles governing the development of rule-based models. Fuzzy Modelling Paradigms and Practice provides a wealth of specific fuzzy modelling paradigms, algorithms and tools used in systems modelling. Also included is a panoply of case studies from various computer, engineering and science disciplines. This should be a primary reference work for researchers and practitioners developing models of complex systems.