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

  • Authors:
  • George E. Tsekouras;Dimitris Papageorgiou;Sotiris B. Kotsiantis;Christos Kalloniatis;Panagiotis Pintelas

  • Affiliations:
  • University of the Aegean, Department of Cultural Technology Communication, Mytilene, Lesvos, Greece;University of the Aegean, Department of Cultural Technology Communication, Mytilene, Lesvos, Greece;Efdlab, University of Patras, Department of Mathematics, Greece;University of the Aegean, Department of Cultural Technology Communication, Mytilene, Lesvos, Greece;Efdlab, University of Patras, Department of Mathematics, Greece

  • Venue:
  • IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
  • Year:
  • 2005

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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.