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Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model
Abstract
Abstract
This article provides an overview of the decision tree induction software and random forest ensemble. The general programmatic principles of building a fuzzy decision tree in the Microsoft Visual Studio integrated development environment using the object-oriented C # language on the. Net Framework platform are described. It can be used to develop a hybrid ensemble classifier model.
Keywords
Fuzzification, Fuzzy production rules, Fuzzy decision tree, Hybrid ensemble model
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