A fuzzy logic-based approach for detecting shifting patterns in cross-cultural data

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Abstract

To assess the extent to which individuals adapt themeselfs in a strange cultural environement, the authors analyzed the adaptation process of a number of immigrants who live in Greece. Using categorical variables to represent certain cross-cultural adaptation indicators and employing fuzzy logic clustering, the authors detected and analyzed shifting patterns that are related to the cross-cultural adaptation of individuals. © Springer-Verlag Berlin Heidelberg 2005.

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Tsekouras, G. E., Papageorgiou, D., Kotsiantis, S. B., Kalloniatis, C., & Pintelas, P. (2005). A fuzzy logic-based approach for detecting shifting patterns in cross-cultural data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 705–708). Springer Verlag. https://doi.org/10.1007/11504894_97

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