Share Email Print

Proceedings Paper

Image processing: the nature and value of fuzzy metrology
Author(s): H. John Caulfield
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The term "fuzzy metrology" is almost as misleading as the term "fuzzy logic." Many people simply avert their eyes from fuzzy logic, because they know (correctly) that good logic is not fuzzy but rigorous. But, neither the measured result nor the logic itself is fuzzy in any conventional sense. Many sets are fuzzy, so they must be handled not by crisp logic but by fuzzy logic. Fuzzy logic itself is quite rigorous. Likewise, fuzzy metrology uses the mechanisms of fuzzy logic to arrive at precise measurements of physical things. In itself it is rigorous. You avert your eyes at your peril. After a general discussion of the basics of fuzzy logic, I show a number of examples that allow the user even better understanding of when fuzzy metrology might be superior to conventional crisp metrology.

Paper Details

Date Published: 3 September 2008
PDF: 7 pages
Proc. SPIE 7071, An Optical Believe It or Not: Key Lessons Learned, 70710H (3 September 2008); doi: 10.1117/12.799682
Show Author Affiliations
H. John Caulfield, Fisk Univ. (United States)

Published in SPIE Proceedings Vol. 7071:
An Optical Believe It or Not: Key Lessons Learned
Mark A. Kahan, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?