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Application of Fuzzy Relations to Test Theory

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Advances in Computational Intelligence (IPMU 2012)

Abstract

Unlike the classical probability-based approach we consider the generation and evaluation of tests based on a fuzzy approach. This leads to tasks which can be solved within the frame of fuzzy relational equations. Several examples illustrate the usefulness of our approach.

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© 2012 Springer-Verlag Berlin Heidelberg

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Wagenknecht, M., Sokolov, O., Molchanova, O. (2012). Application of Fuzzy Relations to Test Theory. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_46

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  • DOI: https://doi.org/10.1007/978-3-642-31715-6_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31714-9

  • Online ISBN: 978-3-642-31715-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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