Fuzzy deductive database for handling uncertainty in the fields of medical diagnosis and high-level VLSI synthesis

Sanjoy Kumar Mukherjee; Mary Deutsch-McLeish; D. K. Banerji

doi:10.1117/12.165057

22 December 1993 Fuzzy deductive database for handling uncertainty in the fields of medical diagnosis and high-level VLSI synthesis

Sanjoy Kumar Mukherjee, Mary Deutsch-McLeish, D. K. Banerji

Author Affiliations +

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165057
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Sanjoy Kumar Mukherjee, Mary Deutsch-McLeish, and D. K. Banerji "Fuzzy deductive database for handling uncertainty in the fields of medical diagnosis and high-level VLSI synthesis", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165057

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Databases

Fuzzy logic

Surgery

Very large scale integration

Diagnostics

Medical diagnostics

Fuzzy systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years