An Analysis of Type-1 and Type-2 Fuzzy Logic Systems

Author

Dongming Wang
Levent Acar, Missouri University of Science and TechnologyFollow

Abstract

This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set preliminaries with the ordinary Type-1 fuzzy set. Two theorems are proved: the first one helps to generate the general form of the Type-2 operations, the second provides an approach to transfer the Type-1 fuzzy uncertainties to the Type-2 system.

Recommended Citation

D. Wang and L. Acar, "An Analysis of Type-1 and Type-2 Fuzzy Logic Systems," Proceedings of the IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics (1999, Cambridge, MA), pp. 353 - 358, Institute of Electrical and Electronics Engineers (IEEE), Sep 1999.

The definitive version is available at https://doi.org/10.1109/ISIC.1999.796680

Meeting Name

IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics (1999: Sept. 15-17, Cambridge, MA)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Membership functions; Theorem proving; Uncertain systems; Topological additive noise; Formal logic

International Standard Serial Number (ISSN)

2158-9860

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Sep 1999