Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
A genetic algorithm for generating fuzzy classification rules
Fuzzy Sets and Systems
Data Mining for Features Using Scale-Sensitive Gated Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning optimization in simplifying fuzzy rules
Fuzzy Sets and Systems
A New Method for Mining Regression Classes in Large Data Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized fuzzy c-means algorithms
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Categorizing classes of signals by means of fuzzy gradual rules
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Qualitatively faithful quantitative prediction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Insight of a fuzzy regression model
Fuzzy Sets and Systems
Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classification
Fuzzy Sets and Systems
A comparison of linear genetic programming and neural networks inmedical data mining
IEEE Transactions on Evolutionary Computation
Fuzzy classifications using fuzzy inference networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new method for constructing membership functions and fuzzy rulesfrom training examples
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient fuzzy classifier with feature selection based on fuzzyentropy
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
Design of hierarchical fuzzy model for classification problem using GAs
Computers and Industrial Engineering
A new computational intelligence technique based on human group formation
Expert Systems with Applications: An International Journal
Design of hierarchical fuzzy model for classification problem using GAs
Computers and Industrial Engineering
Non-singleton genetic fuzzy logic system for arrhythmias classification
Engineering Applications of Artificial Intelligence
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The main theme of this paper is to set up an adaptive fuzzy model for a new classification problem. At first, we propose a fuzzy classification model that can automatically generate the fuzzy IF-THEN rules by the features of the training database. The consequent part of the fuzzy IF-THEN rule consists of the confident value of the rule and which class the datum should belong to. Then a novel adaptive modification algorithm (AMA) is developed to tune the confident value of the fuzzy classification model. The proposed model comprises three modules, generation of the fuzzy IF-THEN rules, determination of the classification unit, and setup of the AMA. Computer simulations on the well known Wine and Iris databases have tested the performance. Simulations demonstrate that the proposed method can provide sufficiently high classification rate in comparison with other fuzzy classification models.