Title :
Fuzzy qualitative modelling
Author :
Shen, Q. ; Leitch, R.R. ; Coghill, G.M.
Author_Institution :
Dept. of Comput. & Elect. Eng., Heriot-Watt Univ., Edinburgh, UK
Abstract :
The theory of fuzzy sets and the development of qualitative modelling have had similar motivations: coping with complexity in reasoning about the behaviour of physical systems. The paper presents a synthesis of these techniques, providing a fuzzy qualitative modelling method for performing qualitative simulation that offers significant advantages over existing qualitative simulation methods. The resulting simulation algorithm is termed FuSim hereafter. This development makes a significant contribution towards the full-scale industrial applications of qualitative modelling. The paper shows a typical example of utilising fuzzy qualitative models in fault diagnosis of continuous dynamic systems, based on an iterative search technique
Keywords :
fault location; fuzzy set theory; iterative methods; modelling; search problems; FuSim; continuous dynamic systems; fault diagnosis; fuzzy qualitative modelling; fuzzy sets; iterative search technique; qualitative modelling; qualitative simulation;
Conference_Titel :
Two Decades of Fuzzy Control - Part 2, IEE Colloquium on
Conference_Location :
London
