By Topic

A New Approach to Design of Interval Type-2 Fuzzy Logic Systems

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

1 Author(s)
Babak Rezaee ; Dept. of Ind. Eng., Amirkabir Univ. of Technol. (Polytech. of Tehran), Tehran

This paper addresses a new approach for automatically extraction of the type-2 fuzzy rules from input-output data. In this approach, the structure identification and parameter optimization are carried out automatically without any assumption about the structure of the data, which is capable of finding the optimal number of the rules with an acceptable accuracy. The fuzzy modeling algorithm proposed in this paper is composed of three significant modules: (1) generate an initial rule-base, (2) tune the rule-base, (3) construct a new rule and add to rule-base. First, an initial two-rule fuzzy model (type-1) is generated, and then, this rule base is transformed to interval type-2 fuzzy rule base. According to the system output error, another type-2 rule is added to rule base. This procedure is continued until the stop criteria are satisfied. Four examples are provided to evaluate the performance of the proposed modeling approach.

Published in:

Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on

Date of Conference:

10-12 Sept. 2008