Title :
Extending qualitative simulation by the use of fuzzy sets
Author :
Shen, Qiang ; Leitch, Roy
Author_Institution :
Dept. of Electr. & Electron. Eng., Heriot-Watt Univ., Edinburgh, UK
Abstract :
The authors present a new qualitative simulation (QS) method based on the utilization of fuzzy sets. A fuzzy qualitative simulation algorithm is introduced that provides significant advantages over existing QS techniques. A brief review of the existing QS approaches is presented. A description of basic design choices for developing QS techniques is outlined. The fuzzy representation of physical quantities and the relationships among them are given. Based on such a representation, the fuzzy qualitative simulation algorithm is then established. Experimental results are included
Keywords :
fuzzy set theory; inference mechanisms; simulation; approximate reasoning; fuzzy qualitative simulation algorithm; fuzzy representation; qualitative reasoning; qualitative simulation; Automation; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Laboratories; Ontologies; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258792