Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Distributed representation of fuzzy rules and its application to pattern classification
Fuzzy Sets and Systems
A neuro-fuzzy method to learn fuzzy classification rules from data
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
Learning fuzzy classification rules from labeled data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
Particle swarm based Data Mining Algorithms for classification tasks
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Finding useful fuzzy concepts for pattern classification using genetic algorithm
Information Sciences: an International Journal
Opposition-Based Learning: A New Scheme for Machine Intelligence
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
Induction of Fuzzy Classification Systems Using Evolutionary ACO-Based Algorithms
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
A hybrid PSO/ACO algorithm for classification
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Fuzzy classifier design using genetic algorithms
Pattern Recognition
Medical data mining by fuzzy modeling with selected features
Artificial Intelligence in Medicine
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
A comparative study on diabetes disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
A Framework for Designing a Fuzzy Rule-Based Classifier
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
A modified artificial bee colony algorithm
Computers and Operations Research
A fuzzy classifier with ellipsoidal regions
IEEE Transactions on Fuzzy Systems
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
Artificial bee colony programming for symbolic regression
Information Sciences: an International Journal
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
IEEE Transactions on Neural Networks
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In this study, diagnosis of diabetes disease, which is one of the most important diseases, is conducted with artificial intelligence techniques. We have proposed a novel Artificial Bee Colony (ABC) algorithm in which a mutation operator is added to an Artificial Bee Colony for improving its performance. When the current best solution cannot be updated, a blended crossover operator (BLX-@a) of genetic algorithm is applied, in order to enhance the diversity of ABC, without compromising with the solution quality. This modified version of ABC is used as a new tool to create and optimize automatically the membership functions and rules base directly from data. We take the diabetes dataset used in our work from the UCI machine learning repository. The performances of the proposed method are evaluated through classification rate, sensitivity and specificity values using 10-fold cross-validation method. The obtained classification rate of our method is 84.21% and it is very promising when compared with the previous research in the literature for the same problem.