<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
<eissn>2328-7292</eissn>
<publicationDate>2013-12-27</publicationDate>
<volume>2</volume>
<issue>1</issue>
<startPage>1</startPage>
<endPage>6</endPage>
<doi>10.12691/ajams-2-1-1</doi>
<publisherRecordId>AJAMS2014211</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Measuring the Uncertainty of Human Reasoning</title>
<authors>
<author>
<name>Michael Gr. Voskoglou</name>
<email></email>
<affiliationId>1</affiliationId>
</author>
</authors>
<affiliationsList>
<affiliationName affiliationId="1">School of Technological Applications, Graduate Technological Educational Institute (T. E. I.) of Western Greece, Patras, Greece</affiliationName>

</affiliationsList>
<abstract language="eng">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.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/2/1/1/ajams-2-1-1.pdf</fullTextUrl>
<keywords language="eng">reasoningfuzzy setsmeasures of uncertainty</keywords>
</record>
</records>
