Paper Info
Title
A Soft Computing Approach for Modelling the Supervisor of Manufacturing Systems
Abstract
The development of a novel soft computing approach to model the supervisor of manufacturing systems is described, it is named Fuzzy Cognitive Maps (FCMs) and it is used to model the behaviour of complex systems. Fuzzy cognitive maps combine characteristics of both fuzzy logic and neural networks. The description and the construction of fuzzy cognitive maps are examined, a new methodology for developing fuzzy cognitive maps is proposed here and as an example the fuzzy cognitive map for a simple plant is developed. A hierarchical two-level structure for supervision of manufacturing systems is presented, where the supervisor is modelled as a fuzzy cognitive map. The fuzzy cognitive map model for the failure diagnosis part of the supervisor for a simple chemical process is constructed.
Year
DOI
Venue
1999
10.1023/A:1008165916707
Journal of Intelligent and Robotic Systems
Keywords
Field
DocType
supervisory manufacturing systems,fuzzy cognitive maps,soft computing
Fuzzy electronics,Neuro-fuzzy,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy cognitive map,Control engineering,Artificial intelligence,Engineering,Adaptive neuro fuzzy inference system,Fuzzy associative matrix,Machine learning
Journal
Volume
Issue
ISSN
26
3-4
1573-0409
Citations 
PageRank 
References 
16
1.33
8
Authors
2
Name
Order
Citations
PageRank
C. D. Stylios11629.52
P. P. Groumpos224614.83