Share Email Print
cover

Proceedings Paper

Optimal measurement planning using fuzzy-set theory
Author(s): Xintao Xia; Zhongyu Wang; Yongsheng Gao
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

In precision measurement, it is known that a measurement process involves errors or factors of different kinds and types. Using the prior knowledge on the relationship between the measured variables and the factors, the best measurement plan may be obtainable if a target function on the errors is minimized. In many cases, however, the relationship may not be clear since non-quantitative factors are involved, making the finding of the best plan using methods such as the statistics method quite difficult. A new method based the fuzzy-set theory is proposed to solve this problem. In this method, the membership grade is maximized. The concept of quasi-perfect plan is presented. Mathematical modes are established and case studies are presented in order to demonstrate the feasibility of the proposed method.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521921
Show Author Affiliations
Xintao Xia, Henan Univ. of Science and Technology (China)
Zhongyu Wang, Beijing Univ. of Aeronautics and Astronautics (China)
Yongsheng Gao, Hong Kong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top