Share Email Print
cover

Proceedings Paper

Uncertainty in fuzzy and partial logic in the context of electrical CAD
Author(s): Areski Nait Abdallah; Eugene B. Shragowitz
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Uncertainty is a fundamental feature of the design process. Until the appearance of fuzzy logic only probabilistic models were available for dealing with uncertainty. In this paper an issue of uncertainty is considered based on fuzzy logic models and logic of partial information models - a new development in logic. The paper contains an overview of inference principles in fuzzy logic and partial logic as well as a classification of CAD system based on application of fuzzy logic. Examples of problem formulations in fuzzy logic and partial information logic are provided for the same problems and results are compared.

Paper Details

Date Published: 13 October 1998
PDF: 15 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326706
Show Author Affiliations
Areski Nait Abdallah, Stanford Univ. (Canada)
Eugene B. Shragowitz, Univ. of Minnesota/Twin Cities (United States)


Published in SPIE Proceedings Vol. 3455:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

© SPIE. Terms of Use
Back to Top