Abstract: The aim of modeling is to represent, manipulate and communicate real-world objects of daily life and that somehow allows the simulation of complex processes, generate hypotheses and suggest experiments. Many of the systems areas in biology, health, medicine, humanities and engineering are unwieldy with traditional analytical and mathematical methods, so in early 1990 it started to propose the concept of soft-computing or computational intelligence to refer to computational techniques and algorithms that exploit the tolerance for imprecision, uncertainty and partial truth. One such case is represented by fuzzy logic, a powerful tool for managing complex problems in a position where you have incomplete or not very accurate information. A review of the potential of fuzzy logic as a tool for mathematical modeling in life sciences is presented.
Keywords: Fuzzy logic, mathematical modelling, Life sciences, biological systems.
Title: Fuzzy logic as a Tool for Mathematical Modeling in Life Sciences
Author: Jose Arturo Molina Mora
International Journal of Life Sciences Research
ISSN 2348-3148 (online), ISSN 2348-313X (Print)
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