By Topic

Extended T-S fuzzy model based on interval arithmetic and its application to interval nonlinear regression analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sun Changping ; Key Laboratory of Advanced Control for Iron and Steel Process(University of Scinece and Technology Beijing), Ministry of Education, University of Science and Technology Beijing, China ; Xu Zhengguang

In this paper, a new fuzzy system model structure - interval T-S fuzzy model (ITSFM) is proposed. Inspired from interval regression analysis, the interval arithmetic is incorporated with classical T-S fuzzy model and the parameters in consequent part of the ITSFM model become to be interval numbers. Thus, the outputs of the proposed ITSFM are interval numbers. In our ITSFM model, the membership functions are the same as the ones of the classical type. Finally, the proposed ITSFM is applied to interval nonlinear regression analysis with crisp inputs and interval outputs. Experimental results are then presented that indicate the validity and applicability of the proposed ITSFM.

Published in:

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Date of Conference:

20-24 Aug. 2009