Fuzzy relation equations and fuzzy inference systems: An inside approach

Citation
Gb. Stamou et Sg. Tzafestas, Fuzzy relation equations and fuzzy inference systems: An inside approach, IEEE SYST B, 29(6), 1999, pp. 694-702
Citations number
29
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
ISSN journal
10834419 → ACNP
Volume
29
Issue
6
Year of publication
1999
Pages
694 - 702
Database
ISI
SICI code
1083-4419(199912)29:6<694:FREAFI>2.0.ZU;2-E
Abstract
This paper investigates and extends the use of fuzzy relation equations for the representation and study of fuzzy inference systems. Using the general ized sup-t (t is a triangular norm) composition of fuzzy relations and the study of sup-t fuzzy relation equations, interesting results are provided c oncerning the completeness and the theoretical soundness of the representat ion, as well as the ability to mathematically formulate and satisfy applica tion-oriented design demands. Furthermore, giving a formal study of fuzzy p artitions and some useful aspects of fuzzy associations and fuzzy systems, the paper can be used as a theoretical background for designing consistent fuzzy inference systems.