Resumen

ZUREK, Eduardo E.; ROMERO, Daniel J.; BLANCO, Hernán D.  y  GUTIERREZ, Carlos A.. FUZZY INFERENCE SYSTEM FOR THE IDENTIFICATION OF OVER-THE-COUNTER (OTC) DRUGS. Rev. ing. univ. Medellín [online]. 2013, vol.12, n.22, pp.109-116. ISSN 1692-3324.

This document shows the details of the implementation of a fuzzy inference system, for the identification of four over-the-counter drugs (Naproxen, Calcium Carbonate, Muvett and Winadol), by using a Raman Spectroscopy, which output is the characterization of the substance. Data obtained from Raman Spectroscopy are modeled with Matlab^®- Fuzzy Logic Toolbox.

Palabras clave : Fuzzy logic; Raman spectroscopy; Artificial Intelligence; Soft Computing; Signal Processing.

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