ASSESSING THE EVOLUTION OF LEARNING CAPABILITIES AND DISORDERS WITH A GRAPHICAL EXPLORATORY ANALYSIS OF SURVEYS CONTAINING MISSING AND CONFLICTING ANSWERS

作者：Sanchez Luciano^*; Couso Ines; Otero Jose; Palacios Ana

来源：Neural Network World, 2010, 20(7): 825-838.

• Knowledge surveys
• graphical exploratory analysis
• multidimensional scaling
• fuzzy fitness-based genetic algorithms

The analysis of the evolution of learning with graphical maps is based on the placement of the individuals in positions that are computed on the basis of their answers to certain tests. These techniques are useful for detecting similarities between the knowledge profiles of the subjects and can also be used for assessing the acquisition of capabilities after a course. In this paper, we propose to extend some graphical exploratory analysis techniques to the case where there are missing or conflicting answers in the tests. We will also consider that either a missing or unknown answer, or a set of conflictive answers to a survey, is aptly represented by an interval or a fuzzy set. This representation causes that each individual in the map is no longer a point but a figure whose shape and size determine the coherence of the answers and whose position with respect to its neighbors determines the similarities and differences between the individuals.

• 出版日期2010