Application of fuzzy logic and approximate reasoning in process automation

Author

De Silva, Clarence W.

Author_Institution

Dept. of Mech. Eng., British Columbia Univ., Vancouver, BC, Canada

Volume

1

fYear

1997

fDate

27-23 May 1997

Firstpage

20

Abstract

Intelligence encompasses abilities to perceive, reason, learn, and infer from incomplete information. The capability of approximation for the purpose of comparison, pattern recognition, reasoning and decision making, is also manifestation of intelligence. There are many concepts of approximation, examples of which include imprecision, uncertainty, fuzziness, and belief. These concepts are not identical even though the associated methods of information representation and processing may display similarities. The presentation will explore several concepts of approximation, in this context. Advanced automation of industrial processes may require “intelligent” monitoring, quality assessment, self-tuning, and supervisory control. The presentation describes several industrial applications where fuzzy logic has been employed in the representation and processing of knowledge for the purpose of “intelligent” decision making that is associated with such tasks

Keywords

fuzzy logic; inference mechanisms; intelligent control; process control; uncertainty handling; approximate reasoning; approximation; belief; decision making; fuzziness; fuzzy logic; intelligent monitoring; process automation; quality assessment; self-tuning; supervisory control; uncertainty; Automation; Computerized monitoring; Decision making; Displays; Fuzzy logic; Industrial control; Information representation; Pattern recognition; Quality assessment; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3755-7

Type

conf

DOI

10.1109/KES.1997.616847

Filename

616847