Dealing with the Fuzziness of Human Reasoning
This addresses the challenge of quantifying fuzzy human reasoning for educational or psychological applications, but it appears incremental as it applies existing fuzzy logic techniques to this domain.
The paper tackles the problem of modeling the inherent fuzziness in human reasoning by constructing a fuzzy model that calculates possibilities for individual profiles and uses centroid defuzzification to measure reasoning skills, with results illustrated through classroom experiments.
Reasoning, the most important human brain operation, is charactrized by a degree fuzziness. In the present paper we construct a fuzzy model for the reasoning process giving through the calculation of the possibilities of all possible individuals' profiles a quantitative/qualitative view of their behaviour during the above process and we use the centroid defuzzification technique for measuring the reasoning skills. We also present a number of classroom experiments illustrating our results in practice.