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

Dongming Wang; Levent Acar

doi:10.1109/ISIC.1999.796680

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

Dongming Wang
, Levent Acar

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Proceedings of the IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics (1999, Cambridge, MA)
DOIs	https://doi.org/10.1109/ISIC.1999.796680
State	Published - Sep 1 1999

Keywords

Formal logic
Membership functions
Theorem proving
Topological additive noise
Uncertain systems

Disciplines

Electrical and Computer Engineering

Access to Document

10.1109/ISIC.1999.796680License: Unspecified

https://doi.org/10.1109/ISIC.1999.796680

Cite this

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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.",

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AB - 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.

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KW - Membership functions

KW - Theorem proving

KW - Topological additive noise

KW - Uncertain systems

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M3 - Article

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JF - Proceedings of the IEEE International Symposium on Intelligent Control/Intelligent Systems and Semiotics (1999, Cambridge, MA)

ER -

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

Abstract

Keywords

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