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

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

Abstract

AbstractThis 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.

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How to cite

Sergey Gorbachev, Maxim V. Bobyr, Nadezhda N. Gorbacheva, Jinde CAO, Siddhartha Bhattacharyya, Sandip A. Kale. Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model. Recent Trends in Programming languages. 2021;7(3):8–16.

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