DocumentCode
303977
Title
Interval regression analysis based on quadratic programming
Author
Tanaka, Hideo ; Koyama, Kenichi ; Lee, Hackwan
Author_Institution
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Volume
1
fYear
1996
fDate
8-11 Sep 1996
Firstpage
325
Abstract
We propose an approach to interval regression analysis based on quadratic programming. Secondly we propose a unified approach for the possibility and the necessity regression models in interval regression. From the obtained two models, fuzzy output can be defined. Moreover, a performance index for the unified approach to measure the fitness of the given data to the obtained models is defined
Keywords
possibility theory; quadratic programming; statistical analysis; interval regression analysis; necessity regression models; performance index; possibility regression models; quadratic programming; Arithmetic; Linear matrix inequalities; Linear programming; Performance analysis; Quadratic programming; Regression analysis; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.551762
Filename
551762
Link To Document