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
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;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.551762
