Graphical Exploratory Analysis of Fuzzy Data as a Teaching Tool

Abstract

Graphical exploratory analysis for fuzzy data allows us to represent sets of individuals whose attributes are perceived with imprecision on a map so that the degree of dissimilarity between two objects is somehow compatible with the distances between their respective representations. This study will discuss the use of this tool to jointly analyze the evolution of a group of students during a course, and to select the most suitable personnel of a company to receive a training course, according to a catalog of competencies and considering the reliability of information sources.