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Fuzzy Logic for Biological and Agricultural Systems

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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.

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Authors and Affiliations

  1. Department of Biological and Agricultural Engineering, University of Georgia, Athens, GA, 30602, USA

    Brian Center & Brahm P. Verma*

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  1. Brian Center
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  2. Brahm P. Verma*
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Correspondence to Brahm P. Verma*.

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Center, B., Verma*, B.P. Fuzzy Logic for Biological and Agricultural Systems. Artificial Intelligence Review 12, 213–225 (1998). https://doi.org/10.1023/A:1006577431288

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