A novel fuzzy exclusive or function represent

Dissertant

Muhammad, Lubna Badri

University

University of Technology

Faculty

-

Department

Department of Control and Systems Engineering

University Country

Iraq

Degree

Ph.D.

Degree Date

1999

English Abstract

The fundamental properties, representation, identification, minimization and three different methods of computing FXOR function nave been proposed, showing the importance and distinctive features of Fuzzy exclusive-OR (FXOR) function.

The new presentation of FXOR function is much simpler and easier to compute than the traditional FXOR function, Realization of fuzzy logic operations Min, Max, and complement have been implemented and then used to implement FXOR logic operation.

A fuzzy Reed-Muller Expansion (FRME) has been proposed.

A new algorithm for fitting FXOR function have been presented.

This algorithm makes it possible to identify a whole mapping in the interval [0,1] with a FXOR logic formula.

From [he point of view of inference systems, this works more effective and easier than conventional approximate methods that involves trial and error.

The algorithm takes a set of fuzzy IF-THEN rules, which represent fuzz rule base, and outputs FXOR functions with the shortest distances to the given mapping.

The resulted functions are represented in XOR gates only instead of many Min / Max circuit.

The new fitting algorithm is applied to 25 - fuzzy IF-THEN rule, and obtained a set of FXOR functions which represent fuzzy inference functions.

The conceptual hardware realization of the developed fuzzy inference is presented.

The simplicity of these realizations is compared with Mm/Max realization.

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Topics

• Algorithms
• Fuzzy logic

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-306347