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Proceedings Paper

Fuzzy deductive database for handling uncertainty in the fields of medical diagnosis and high-level VLSI synthesis
Author(s): Sanjoy Kumar Mukherjee; Mary Deutsch-McLeish; D. K. Banerji
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Paper Abstract

A Fuzzy Deductive Database System has been developed that diagnoses the disease of a patient of pediatric age group with convulsion. The entire system has been encoded in Prolog to provide a rich query interface to it. In order to provide a uniform query interface to the deductive database, a fuzzy SQL-like (a subset of SQL) query interface to the system was developed. The scheme adopted provides a framework for combining different uncertainty management mechanisms to suit any particular application. This query interface to the database can be used to identify correlations among different symptoms and/or clinical or investigational findings among groups of patients which may suggest possible new rules. The ideas of fuzzy deductive databases have also been applied to the domain of high level VLSI synthesis. The fuzzy SQL interface developed, can be used to query the database of uncertain schedules in the dataflow graph, which can be used to arrive at an estimate of the number of functional units required to carry out all the operations. This information can be used by the main software performing scheduling, allocation and binding.

Paper Details

Date Published: 22 December 1993
PDF: 12 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165057
Show Author Affiliations
Sanjoy Kumar Mukherjee, Univ. of Guelph (Canada)
Mary Deutsch-McLeish, Univ. of Guelph (Canada)
D. K. Banerji, Univ. of Guelph (Canada)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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