Share Email Print
cover

Proceedings Paper

Detecting outliers in fuzzy regression analysis with asymmetric trapezoidal fuzzy data
Author(s): A. Maleki; E. Pasha; Gh. Yari; T. Razzaghnia
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The existence of outliers in a set of experimental data can cause incorrect interpretation of the fuzzy linear regression results. This paper is to introduce some limitation on constraints of fuzzy linear regression models for determining fuzzy parameters with outliers by value trapezoidal fuzzy data.

Paper Details

Date Published: 13 January 2012
PDF: 6 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834922 (13 January 2012); doi: 10.1117/12.923177
Show Author Affiliations
A. Maleki, Islamic Azad Univ. (Iran, Islamic Republic of)
E. Pasha, Teacher Training Univ. (Iran, Islamic Republic of)
Gh. Yari, Iran Univ. of Science and Technology (Iran, Islamic Republic of)
T. Razzaghnia, Islamic Azad Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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