2026-09-21T22:03:15Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3773 2021-12-13T03:23:33Z 1582963302567:1597824273898 user-ucsy

Classification of butterfly’s sub families system using fuzzy bayesian decision method Aung, Nway Yu Aung, Thandar Data Mining refers to extracting or miningknowledge from large amounts of data. Classificationis an important technique in data mining.Classification is the process of finding a set ofmodels that describe and distinguish data classes, forthe purpose of being able to use the model to predictthe class of objects whose class label is unknown. Inthis paper, Fuzzy Bayesian Classifier is one ofsimplest probabilistic classifiers. It is based on BayesTheorem. A fuzzy logic based methodology forclassification is developed and used in supervisedlearning. In this paper, Fuzzy Bay esian is used tobuild a classifier using a set of butterfly trainingdataset and to test the unknown dataset. Theevaluation of the performance of the classifier isbased on the feature set by using the hold out methodas the evaluation criteria. The expe riment isperformed on sub family of butterfly dataset from UCI rvine Repository of Machine Learning Databases. 2009-12-30 http://hdl.handle.net/20.500.12678/0000003773 https://meral.edu.mm/records/3773