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Sen, Z., Fuzzy Logic and Hydrological Modelling, Taylor & Francis Group, CRC Press, 2010.

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Article

Measuring the Uncertainty of Human Reasoning

1School of Technological Applications, Graduate Technological Educational Institute (T. E. I.) of Western Greece, Patras, Greece


American Journal of Applied Mathematics and Statistics. 2014, Vol. 2 No. 1, 1-6
DOI: 10.12691/ajams-2-1-1
Copyright © 2013 Science and Education Publishing

Cite this paper:
Michael Gr. Voskoglou. Measuring the Uncertainty of Human Reasoning. American Journal of Applied Mathematics and Statistics. 2014; 2(1):1-6. doi: 10.12691/ajams-2-1-1.

Correspondence to: Michael  Gr. Voskoglou, School of Technological Applications, Graduate Technological Educational Institute (T. E. I.) of Western Greece, Patras, Greece. Email:

Abstract

Human reasoning is characterized by a degree of fuzziness and uncertainty. In the present paper we develop a fuzzy model for a better description of the reasoning process and we use the fuzzy systems’ total possibilistic uncertainty as well as the classical ’s entropy (properly modified for use in fuzzy environments) in measuring the individuals’ reasoning skills. Classroom experiments are also provided illustrating our results in practice.

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