A genetic algorithm for generating fuzzy classification rules
From MaRDI portal
Publication:1267476
DOI10.1016/0165-0114(95)00302-9zbMath0906.68131OpenAlexW2020538533WikidataQ127012890 ScholiaQ127012890MaRDI QIDQ1267476
Publication date: 7 October 1998
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-0114(95)00302-9
Related Items (11)
Fuzzy rule base generation for classification and its minimization via modified threshold accepting ⋮ Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm ⋮ GENERATING FUZZY RULES FROM TRAINING DATA CONTAINING NOISE FOR HANDLING CLASSIFICATION PROBLEMS ⋮ A new approach to fuzzy rule generation: Fuzzy extension matrix ⋮ Application of an evolutionary fuzzy system for the estimation of workforce deployment and cross-training in an assembly environment ⋮ Fuzzy rule based classification with FeatureSelector and modified threshold accepting ⋮ The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: Is this a useful tool? ⋮ Constructing Petri net models using genetic search ⋮ Three-objective genetics-based machine learning for linguistic rule extraction ⋮ Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems ⋮ Combining GP operators with SA search to evolve fuzzy rule based classifiers
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like?
- A fuzzy production rule based expert system
- On the equivalence of neural nets and fuzzy expert systems
- Fuzzy implication operators and generalized fuzzy method of cases
- Fuzzy logic in control systems: fuzzy logic controller. II
- Neural-network-based fuzzy logic control and decision system
- Fuzzy sets
This page was built for publication: A genetic algorithm for generating fuzzy classification rules
