An interpretable predictive modelling framework for the turning process by the use of a compensated fuzzy logic system
Author:
Affiliation:
1. Department of Industrial Engineering, Faculty of Engineering, The Hashemite university, Zarqa, Jordan
2. Department of Industrial Engineering, The University of Jordan, Amman, Jordan
3. Dnata, Queen Alia Airport, Amman, Jordan
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/21693277.2022.2064359
Reference35 articles.
1. A new integrated modelling architecture based on the concept of the fuzzy logic for the turning process
2. Transparent predictive modelling of the twin screw granulation process using a compensated interval type-2 fuzzy system
3. Predictive modelling of the granulation process using a systems-engineering approach
4. Integrating the physics with data analytics for the hybrid modeling of the granulation process
5. Fuzzy logic based model for predicting surface roughness of machined Al–Si–Cu–Fe die casting alloy using different additives-turning
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