NDLI: An approximate reasoning approach for the implementation of an expert system in aggregate production planning

Content Provider	IEEE Xplore Digital Library
Author	Turksen, I.B. Zhao Zhong
Copyright Year	1988
Description	Author affiliation: University of Toronto (Turksen, I.B.)
Abstract	An Approximate Reasoning Schema (ARS) is proposed which exhibits the advantage of Fuzzy Sets Theory in Expert Systems' Pattern Matching phase. This schema avoids going through the conceptually complicated Compositional Rule of Inference, which has been employed in the implementation of almost every expert system with approximate reasoning capability. The schema is further extended to Interval-Valued Fuzzy Set's where additional uncertainty can be handled in a formal model. Finally, our ARS is implemented by using Texas Instruments PC/sup +/ Expert System Shell. The Expert System ARS is applied to an Aggregate Production Planning prototype study, where intuitive decision makings seem to be common practice. The system's performance is compared with other approaches and the result, is encouraging.
Starting Page	173
Ending Page	176
File Size	558015
Page Count	4
File Format	PDF
ISBN	7800030393
DOI	10.1109/ICSMC.1988.754267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Expert systems Aggregates Production systems Production planning Pattern matching Uncertainty Phase measurement Particle measurements Samarium Industrial engineering
Content Type	Text
Resource Type	Article

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