6533b835fe1ef96bd129fdff
RESEARCH PRODUCT
Fuzzy Classifier Based on Fuzzy Decision Tree
Elena ZaitsevaSeppo PuuronenVitaly Levashenkosubject
Fuzzy classificationNeuro-fuzzybusiness.industryType-2 fuzzy sets and systemscomputer.software_genreMachine learningDefuzzificationComputingMethodologies_PATTERNRECOGNITIONInformation Fuzzy NetworksFuzzy numberFuzzy set operationsFuzzy associative matrixArtificial intelligenceData miningbusinesscomputerMathematicsdescription
A popular method for making a fuzzy decision tree for classification is Fuzzy ID3 algorithm. We introduce a new approach that uses cumulative information estimations of initial data. Based on these estimations we propose a new greedy version of fuzzy ID3 algorithm to be used to generate understandable fuzzy classification rules. The goal is to find a sequence of rules that causes near minimal classification costs.
year | journal | country | edition | language |
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2007-09-01 | EUROCON 2007 - The International Conference on "Computer as a Tool" |