acta satech Journal of the Life & Physical Sciences Babcock

Approximate Modelling with Fuzzy Logic
M. O. Odim & O. Awodele
Department of Computer Science and Mathematics, Babcock University, Ilishan-Remo, Nigeria.
Received November 2nd, 2003, revised version received January 26th, 2004, accepted February 4, 2004

There are yet many doubts surrounding the applicability of fuzzy logic as a virile modeling technique for imprecise and uncertain real world phenomenon, in spite of its inherent potentials and numerous applications. Some of these scepticisms could have emanated from lack of semantic clarity. Many consider this concept as fuzzy as its name implies and hence view it only as an academic adventure, which has no relevance to real world problem solving. This paper attempts to review and help readers understand and appreciate the thrust behind fuzzy logic. It is further demonstrated that the use of fuzzy logic system has made a remarkable contribution to the field of intelligence processing. The study employs descriptive approach, with examples drawn from various real world problems. The materials are presented in a simple, illustrative ad systematic manner to allow for adequate assimilation of its contents. The data used are secondary and theoretical.
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