Structure identification of fuzzy model
Fuzzy Sets and Systems
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Genetic algorithms for fuzzy controllers
AI Expert
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
IEEE Spectrum
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Fuzzy engineering
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Industrial Applications of Fuzzy Logic and Intelligent Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
The Paradoxical Success of Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
Basic Issues on Fuzzy Rules and Their Application to Fuzzy Control
IJCAI '91 Proceedings of the Workshops on Fuzzy Logic and Fuzzy Control
Simplification of fuzzy-neural systems using similarity analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Simplifying fuzzy rule-based models using orthogonal transformationmethods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Application of statistical information criteria for optimal fuzzy model construction
IEEE Transactions on Fuzzy Systems
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
IEEE Transactions on Fuzzy Systems
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
IEEE Transactions on Knowledge and Data Engineering
A meteorological fuzzy expert system incorporating subjective user input
Knowledge and Information Systems
Forecasting Stock Market Performance Using Hybrid Intelligent System
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Designing an Efficient Fuzzy classifier Using an Intelligent Genetic Algorithm
COMPSAC '00 24th International Computer Software and Applications Conference
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
IEEE Transactions on Knowledge and Data Engineering
A Logical Framework of Knowledge Retrieval with Fuzziness
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Journal of Biomedical Informatics
Comparison of different strategies of utilizing fuzzy clustering in structure identification
Information Sciences: an International Journal
The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
Information Sciences: an International Journal
Fuzzy logic based layers 2 and 3 handovers in IEEE 802.16e network
Computer Communications
A novel fuzzy rule base system for pose independent faces detection
Applied Soft Computing
Designing and evaluating an adaptive trading agent for supply chain management
AMEC'05 Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms
Emerging and adaptive fuzzy logic based behaviours in activity sphere centred ambient ecologies
Pervasive and Mobile Computing
| Hi-index | 0.00 |
Traditionally, fuzzy logic (FL) has been viewed in the artificial intelligence (AI) community as an approach for managing uncertainty. In the 1990s, however, fuzzy logic has emerged as a paradigm for approximating a functional mapping. This complementary modern view about the technology offers new insights about the foundation of fuzzy logic, as well as new challenges regarding the identification of fuzzy models. In this paper, we will first review some of the major milestones in the history of developing fuzzy logic technology. After a short summary of major concepts in fuzzy logic, we discuss a modern view about the foundation of two types of fuzzy rules. Finally, we review some of the research in addressing various challenges regarding automated identification of fuzzy rule-based models.