An interpretable predictive modelling framework for the turning process by the use of a compensated fuzzy logic system

An interpretable predictive modelling framework for the turning process by the use of a compensated fuzzy logic system

This research presents a compensated fuzzy logic system that integrates an interval type-2 fuzzy logic system (IT2FLS) with the Gaussian mixture model (GMM) to model the turning process. First, an IT2FLS is elicited to model the turning process by mapping its input variables to the cutting force and...

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Bibliographic Details
Main Authors: Abdallah Alalawin, Wafa’ H. AlAlaween, Mohammad A. Shbool, Omar Abdallah, Lina Al-Qatawneh
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Production and Manufacturing Research: An Open Access Journal
Subjects:
Compensated fuzzy logic system
cutting force
Gaussian mixture model
interval type-2 fuzzy logic system
surface quality
turning process
Online Access:https://www.tandfonline.com/doi/10.1080/21693277.2022.2064359

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