Mathematical modeling of observed natural behavior: a fuzzy logic approach

نویسندگان

  • Eviatar Tron
  • Michael Margaliot
چکیده

Fuzzy modeling is routinely used to transform the knowledge of an expert, be it a physician or a process operator, into a mathematical model. The emphasis is on constructing a fuzzy expert system that replaces the human expert. In this paper, we advocate a di1erent application of fuzzy modeling, namely, as a tool that can assist human observers in the di2cult task of transforming their observations into a mathematical model. In many 3elds of science, including biology, psychology and economy, human observers have provided linguistic descriptions and explanations of various systems. However, to study these phenomena in a systematic manner, there is a need to construct a suitable mathematical model, a process that usually requires subtle mathematical understanding. Fuzzy modeling is a simple, direct, and natural approach for transforming the linguistic description into a mathematical model. Furthermore, fuzzy modeling o1ers a unique advantage— the close relationship between the linguistic description and the mathematical model can be used to verify the validity of the verbal explanation suggested by the observer. We demonstrate this using an example of territorial behavior of 3sh. c © 2003 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Fuzzy Sets and Systems

دوره 146  شماره 

صفحات  -

تاریخ انتشار 2004