2003•Unpublished venueRequires access

REAL-TIME FUZZY LOGIC COMPUTATIONS

Brian T. Hemmelman, Chaitanya Chandrana

Open publisher page 0 citations

Abstract

Traditionally digital systems and electronics have been based on Boolean algebra and binary numbers. It is, however, possible to utilize fuzzy set theory in digital applications, especially for control applications in consumer electronics and other real-time systems. Fuzzy logic has been used effectively to handle nonlinear systems. In order to accelerate the operation of fuzzy logic systems we have developed hardware chips that allow direct computation and manipulation of fuzzy set membership functions, fuzzy set operators, fuzzification, fuzzy associative matrices, and center of area defuzzification. Unlike software implementations of fuzzy set theory, the computational architecture we have designed allows all fuzzy logic computations to be performed completely in parallel and in real-time.

About this research paper

What this paper is about

Traditionally digital systems and electronics have been based on Boolean algebra and binary numbers. It is, however, possible to utilize fuzzy set theory in digital applications, especially for control applications in consumer electronics and other real-time systems. Fuzzy logic has been used effectively to handle nonlinear systems. In order to accelerate the operation of fuzzy logic systems we have developed hardware chips that allow direct computation and manipulation of fuzzy set membership functions, fuzzy set operators, fuzzification, fuzzy associative matrices, and center of area defuzzification. Unlike software implementations of fuzzy set theory, the computational architecture we have designed allows all fuzzy logic computations to be performed completely in parallel and in real-time.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Traditionally digital systems and electronics have been based on Boolean algebra and binary numbers. It is, however, possible to utilize fuzzy set theory in digital applications, especially for control applications in consumer electronics and other real-time systems. Fuzzy logic has been used effectively to handle nonlinear systems. In order to accelerate the operation of fuzzy logic systems we have developed hardware chips that allow direct computation and manipulation of fuzzy set membership functions, fuzzy set operators, fuzzification, fuzzy associative matrices, and center of area defuzzification. Unlike software implementations of fuzzy set theory, the computational architecture we have designed allows all fuzzy logic computations to be performed completely in parallel and in real-time.

Key concepts: Defuzzification, Fuzzy electronics, Fuzzy set operations, Fuzzy logic, Fuzzy classification, Fuzzy number, Fuzzy associative matrix, Neuro-fuzzy

Related papers

Back to paper searchBrowse research topicsOriginal source
REAL-TIME FUZZY LOGIC COMPUTATIONS — Research Paper | ScholarLens