A software application for possibilistic fuzzy diagnosis in complex systems

Abstract:

This paper discusses a knowledge-base encoding methodology for diagnostic tasks. It transform "expert"-provided rules into algebraic expressions so inference of the "possible" disorders is carried out via associated constrained optimisation problems. In this way, the need of conventional fuzzy inference systems or "uncertain"-logic schemes is no longer present in the particular setting in this paper. The problem is solved by efficient linear programming tools, in principle able to cope with large-scale problems. Direct introduction of the inequalities and cost indices is cumbersome and error-prone so a user-friendly front-end has been developed. © 2009 IFAC.

Año de publicación:

2009

Keywords:

• fuzzy systems
• Possibilistic reasoning
• Computational intelligence in fault diagnosis

Fuente:

scopus