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Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model

Sergey Gorbachev, Maxim V. Bobyr, Nadezhda N. Gorbacheva, Jinde CAO, Siddhartha Bhattacharyya, Sandip A. Kale

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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