Hierarchical fuzzy approaches for a piloted Quality Management System

Author

Ben Mahmoud, Hamden ; Ketata, R. ; Ben Romdhane, T. ; Ben Ahmed, Samir

Author_Institution

Dept. of Phys. & Instrum. Eng., INSAT: Nat. Inst. of Appl. Sci. & Technol., Tunis, Tunisia

fYear

2013

fDate

6-8 May 2013

Firstpage

887

Lastpage

892

Abstract

In this paper, two approaches, Hierarchical Fuzzy Signature (HFS) and Neuro-Fuzzy Hierarchical Hybrid (NFHH), have been proposed for piloting a Quality Management System (QMS). These approaches have been applied for real company which presents a major problem for controlling the quality level of production. HFS structure has reduced complexity in the number of input and output meta-levels of hierarchy. Also NFHH model has presented better performance in terms of precision and number of parameters without losing the universal approximation property of neural networks (NN) and fuzzy systems.

Keywords

fuzzy set theory; fuzzy systems; neural nets; quality management; HFS structure; NFHH; QMS; fuzzy systems; hierarchical fuzzy Signature; neural networks; neuro fuzzy hierarchical hybrid; piloted quality management system; universal approximation property; Artificial neural networks; Companies; Complexity theory; Fuzzy logic; IP networks; Pragmatics; Production; Hierarchical approaches; QMS; fuzzy signature; neuro-fuzzy systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-5547-6

Type

conf

DOI

10.1109/CoDIT.2013.6689660

Filename

6689660