REVISTA DYNA NEW TECHNOLOGIES

Key words:

lógica borrosa, clarificación, funciones de pertenencia, métodos computacionales, error cuadrático medio, fuzzy logic, clarification, membership functions, computational methods, mean square error

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

ABSTRACT:
This paper presents a clarification model on fuzzy sense, considering that the membership function is invertible with respect to system state and defining it as an identification process with respect to bounded black-box system response. In this case, the tool required is the unit vector based on the membership function values. Specifically considers the difference between the state to be clarified and its average instead of the triangle inequality, allowing the clarification according to the defined membership function. In MatLab®, the clarification results converge to the reference signal in all most all points and comparing their with traditional centroid method. Now, in the functionals sequence errors converge to a region, that decrements to zero trough the time.

Key Words: fuzzy logic, clarification, membership functions, computational methods, mean square error.