Abstract
This paper describes the results of a research project to examine the application of non-monotonic reasoning to the problem of component selection for plant design. Component selection is a decision-making process which, we suggest, can be made more efficient through automated knowledge-based support. The work proposes the use of a temporal truth maintenance system to support the selection of components in process plants. The aspect considered here is the reuse of previous knowledge of flowmeter selection to reduce the amount of calculation required to make new selections. The characteristics of the problems associated with this kind of decision-support suggest the use of a non-monotonic reasoning solution. This paper outlines the design of a decision-support system. The system has been tested in the specific domain of flowmeter selection, where its selections were found to correlate well with those of a human expert. It is also shown that the system can reuse and modify previous experience of flowmeter selection.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
