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

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

    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.

    Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 8–16 Read article

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