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Fuzzy Logic for Biological and Agricultural Systems

Fuzzy Logic for Biological and Agricultural Systems Fuzzy logic is a powerful concept for handling non-linear, time-varying, adaptive systems. It permits the use of linguistic values of variables and imprecise relationships for modeling system behavior. The paper presents an overview of fuzzy logic modeling techniques, its applications to biological and agricultural systems and an example showing the steps of constructing a fuzzy logic model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Fuzzy Logic for Biological and Agricultural Systems

Artificial Intelligence Review , Volume 12 (3) – Oct 13, 2004

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References (69)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1023/A:1006577431288
Publisher site
See Article on Publisher Site

Abstract

Fuzzy logic is a powerful concept for handling non-linear, time-varying, adaptive systems. It permits the use of linguistic values of variables and imprecise relationships for modeling system behavior. The paper presents an overview of fuzzy logic modeling techniques, its applications to biological and agricultural systems and an example showing the steps of constructing a fuzzy logic model.

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Oct 13, 2004

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