Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns
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Summary
The proposed learning method adjusts the degree of certainty so that the classication cost is minimized and experimental results on several UCI data sets show the proposed method.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 10
- References
- 19
- OpenAlex
- https://openalex.org/W62490592
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8333525
Keywords
Fuzzy logic, Artificial intelligence, Computer science, Antecedent (behavioral psychology), Fuzzy set
References
- Fuzzy Theory Systems: Techniques and Applications
- Techniques and applications
- Klir and Yuan's Fuzzy Sets and Fuzzy Logic
- An introductory survey of fuzzy control
- Classification by fuzzy integral: performance and tests
- The representation of importance and interaction of features by fuzzy measures
- Distributed representation of fuzzy rules and its application to pattern classification
- Effect of rule weights in fuzzy rule-based classification systems
- Adaptive fuzzy rule-based classification systems
- Constructing fuzzy classification systems from weighted training patterns
- Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes
- Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
- Selecting fuzzy if-then rules for classification problems using genetic algorithms
- FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I
- Fuzzy sets and fuzzy logic: the foundations of application - from a mathematical point of view
- A comparison of some methods of fuzzy classification on real data
Cited by
- Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease
- Using Fuzzy Logic to Solve Bioinformatics Tasks
- Hybrid Fuzzy Rule-Based Classification
- GA-based optimisation of fuzzy rule bases for pattern classification
- Extracting a seizure intensity index from one-channel EEG signal using bispectral and detrended fluctuation analysis
- Cost-Sensitive Fuzzy Classification for Medical Diagnosis
- Weighted fuzzy classification with integrated learning method for medical diagnosis
- Prediction of heart and kidney risks in diabetic prone population using fuzzy classification
- A New Paradigm For Generation Of Fuzzy Membership Function
- Prediction of Diabetes Mellitus using Machine Learning
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