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Human Affairs

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Volume 24, Issue 2

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Fuzzy approach - a new chapter in the methodology of psychology?

Jan Stoklasa
  • Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University in Olomouc, tř. 17. listopadu 12, 771 46, Olomouc, Czech Republic
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/ Tomáš Talášek
  • Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University in Olomouc, Olomouc, Czech Republic
  • LUT Graduate School, Lappeenranta University of Technology, Lappeenranta, Finland
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/ Jana Musilová
Published Online: 2014-03-29 | DOI: https://doi.org/10.2478/s13374-014-0219-8

Abstract

This paper aims to briefly introduce the main idea behind the fuzzy approach and to identify the areas and problems encountered in the humanities that might profit from using this approach. Based on a short overview of selected applications of fuzzy in psychology we identify key areas in which the fuzzy approach has already been applied, and propose a list of general types of problems that the fuzzy approach may provide solutions for in psychology and the humanities in general. These types of problems are illustrated using practical examples. The benefits and possible shortcomings of using the fuzzy approach compared to classical approaches in use today are discussed.

The goal of this paper is to indicate areas in research and practice in the humanities, where modern mathematical tools—in this case linguistic fuzzy modeling—have already been used or might prove promising.

Keywords: methodology; fuzzy; linguistic modelling; decision support; diagnostics

  • [1] Arfi, B. (2010). Linguistic fuzzy logic methods in social sciences. Berlin Heidelberg: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-13343-5CrossrefGoogle Scholar

  • [2] Bebčáková, I., Talašová, J., & Škobrtal, P. (2010). Interpretation of the MMPI-2 Test based on fuzzy set techniques. Acta Universitatis Matthiae Belii ser. Mathematics 16, 5–16. Google Scholar

  • [3] Burisch, M. (1993). In search of theory: Some ruminations on the nature and etiology of burnout. In W. B. Schaufeli, C. Maslach, & T. Marek (Eds.), Professional burnout: recent developments in theory and research (pp. 75–93). Washington: Taylor & Francis. Google Scholar

  • [4] Dubois, D., & Prade, H. (Eds.). (2000). Fundamentals of fuzzy sets. The handbook of fuzzy sets series. Boston, London, Dordrecht: Kluwer Academic Publishers. Google Scholar

  • [5] Horowitz, L. M., & Malle, B. F. (1993). Fuzzy concepts in psychotherapy research. Psychotherapy research, 3, 131–148. http://dx.doi.org/10.1080/10503309312331333739CrossrefGoogle Scholar

  • [6] Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications. New Jersey: Prentice Hall. Google Scholar

  • [7] Massaro, D. W., Weldon, M. S., & Kitzis, S. N. (1991). Integration of orthographic and semantic information in memory retrieval. Journal of Experimental Psychology Learning, Memory and Cognition, 17, 277–287. http://dx.doi.org/10.1037/0278-7393.17.2.277Web of ScienceCrossrefGoogle Scholar

  • [8] Oden, G. C., & Massaro, D. W. (1978). Integration of featural information in speech perception. Psychological review, 85, 172–191. http://dx.doi.org/10.1037/0033-295X.85.3.172CrossrefGoogle Scholar

  • [9] Ragin, C. C. (2000). Fuzzy-set social sciences. Chicago: University of Chicago Press. Google Scholar

  • [10] Smithson, M., & Oden, C. G. (1999). Fuzzy set theory and applications in psychology. In H. J. Zimmermann (Ed.), Practical Applications of fuzzy technologies (pp. 557–585). Norwell: Kluwer Academic Publishers. http://dx.doi.org/10.1007/978-1-4615-4601-6_17CrossrefGoogle Scholar

  • [11] Smithson, M., & Verkuilen, J. (2006). Fuzzy set theory: Applications in the social sciences. Thousand Oaks, London, New Delhi: Sage Publications. Google Scholar

  • [12] Smithson, M. (1986). Fuzzy set analysis for behavioral and social science. New York, Berlin, Heidelberg: Springer-Verlag. Google Scholar

  • [13] Stoklasa, J., Holeček, P., & Talašová, J. (2012). A holistic approach to academic staff performance evaluation — a way to the fuzzy logic based evaluation, Peer reviewed full papers of the 8th international conference on evaluation for practice “Evaluation as a tool for research, learning and making things better”. A Conference for Experts of Education, Human Services and Policy, 18–20 June 2012, 2012, Pori, Finland, 121–131. Google Scholar

  • [14] Stoklasa, J., Jandová, V., & Talašová, J. (2013). Weak consistency in Saaty’s AHP — evaluating creative work outcomes of Czech Art Colleges. Neural network world 23, 61–77. Google Scholar

  • [15] Stoklasa, J., & Talašová, J. (2013). AHP based decision support tool for the evaluation of works of art — Registry of Artistic Performances., Proceedings of the Finnish operations research society 40th anniversary workshop — FORS40, Lappeenranta 20. — 21.8.2013, LUT Scientific and Expertise Publications No. 13, 44–47. Google Scholar

  • [16] Stoklasa, J., & Talašová, J. (2011). Using linguistic fuzzy modeling for MMPI-2 data interpretation. Proceedings of the 29th International Conference on Mathematical Methods in Economics 2011 — part II, Praha, Czech Republic, 653–658. Google Scholar

  • [17] Stoklasa, J., Talašová, J., & Holeček, P. (2011). Academic staff performance evaluation — variants of models, Acta Polytechnica Hungarica 8(3), 91–111. Google Scholar

  • [18] Zadeh, L. A. (1975). The concept of linguistic variable and its application to approximate reasoning. Information Sciences, Part 1: 8, 199–249; Part 2: 8, 301–357; Part 3: 9, 43–80. Google Scholar

  • [19] Zadeh, L. A. (1965). Fuzzy sets. Inform. Control, 8, 338–353. http://dx.doi.org/10.1016/S0019-9958(65)90241-XCrossrefGoogle Scholar

  • [20] Zemková, B., & Talašová, J. (2011). Fuzzy sets in HR Management, Acta Polytechnica Hungarica, 8(3), 113–124. Google Scholar

  • [21] Zétényi, T. (Ed.). (1988). Fuzzy sets in psychology. Amsterdam, New York, Oxford, Tokyo: North-Holland. Google Scholar

About the article

Published Online: 2014-03-29

Published in Print: 2014-04-01


Citation Information: Human Affairs, Volume 24, Issue 2, Pages 189–203, ISSN (Online) 1337-401X, DOI: https://doi.org/10.2478/s13374-014-0219-8.

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© 2014 Institute for Research in Social Communication, Slovak Academy of Sciences. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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