Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes
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Summary
This paper describes a simple fuzzy classifiers system where a randomly generated initial population of fuzzy if-then rules is evolved by typical genetic operations, such as selection, crossover, and mutation, and introduces two heuristic procedures for improving the performance of the fuzzy classifier system.
- Type
- article
- Published
- 1999-12-01
- Cited by
- 125
- References
- 28
- OpenAlex
- https://openalex.org/W2127099662
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3468342
Keywords
Classifier (UML), Fuzzy classification, Fuzzy logic, Artificial intelligence, Fuzzy rule
References
- C4.5: Programs for Machine Learning (書評)
- A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems
- Computer Systems That Learn
- A Genetic Algorithm for Optimizing Fuzzy Decision Trees
- Using real-valued genetic algorithms to evolve rule sets for classification
- An introductory survey of fuzzy control
- Tuning of a fuzzy classifier derived from data
- Democracy in neural nets: Voting schemes for classification
- Fuzzy min-max neural networks. I. Classification
- An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks
- A genetic algorithm for generating fuzzy classification rules
- Fuzzy aggregation of modular neural networks with ordered weighted averaging operators
- Distributed representation of fuzzy rules and its application to pattern classification
- Fuzzy identification of systems and its applications to modeling and control
- Multilayer perceptron, fuzzy sets, and classification
- Adaptive fuzzy rule-based classification systems
- Generating fuzzy rules by learning from examples
- A method for fuzzy rules extraction directly from numerical data and its application to pattern classification
- Fuzzy Min-Max Neural Networks-Part 1 : Classification
- Consensus theoretic classification methods
Cited by
- Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns
- Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems
- Computational Intelligence Techniques for Short-Term Electric Load Forecasting
- Tradeoff between the performance of fuzzy rule-based classification systems and the number of fuzzy if-then rules
- Simple fuzzy rule-based classification systems perform well on commonly used real-world data sets
- Constructing fuzzy ensembles for pattern classification problems
- Knowledge acquisition for a soccer agent by fuzzy reinforcement learning
- A fuzzy cooperative fusion system for seismic image interpretation
- Effect of data weighting methods on the performance of fuzzy classification systems
- GA-based approaches for finding the minimum reference set for nearest neighbor classification
- An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures
- Performance evaluation of various variants of fuzzy classifier systems for pattern classification problems
- Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems
- A cost-based fuzzy system for pattern classification with class importance
- Comparison of Heuristic Criteria for Fuzzy Rule Selection in Classification Problems
- Fuzzy reasoning method in fuzzy rule-based systems with general and specific rules for function approximation
- A weighting function for improving fuzzy classification systems performance
- A real-time shipboard fire-detection system based on grey-fuzzy algorithms
- A fuzzy rule-based interactive fusion system for seismic data analysis
- ADAPTIVE FUZZY LOGIC-BASED FRAMEWORK FOR HANDLING IMPRECISION AND UNCERTAINTY IN CLASSIFICATION OF BIOINFORMATICS DATASETS
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