A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE

A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE

The capability analysis of a process against requirements is often an instrument of change. The traditional and fuzzy process capability approaches are the most useful statistical techniques for determining the intrinsic spread of a controlled process for establishing realistic specifications and us...

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Bibliographic Details
Main Authors: Iván E. Villalón-Turrubiates, Rogelio López-Herrera, Jorge L. García-Alcaraz, José R. Díaz-Reza, Arturo Soto-Cabral, Iván González-Lazalde, Gerardo Grijalva-Avila, José L. Rodríguez-Álvarez
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
fuzzy process capability indices
fuzzy set theory
neural network model
graphic user interface
factorial experimental design
Online Access:https://www.mdpi.com/2227-7390/10/16/3000

Internet

https://www.mdpi.com/2227-7390/10/16/3000

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