Abstract
This paper proposes an ANFIS (Adaptive Network Based Fuzzy Inference System) Learning Approach where we have found patterns of personality types using Big Five Personality Tests for students in Engineering Programs. An ANFIS model is applied to the personality traits of the Big Five Personality Model obtaining a Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS) type model with rules that are helping us identify Big Five Patterns for students that are studying Engineering Programs.
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References
Tett, R.P., Jackson, D.M., Rothstein, M.: Personality measures as predictors of job performance; a meta analytic review. Personnel Psychology 44, 703–742 (1991)
Singh, S.: Gender differences in work values and personality characteristics among Indian executives. Journal of Social Psychology 134, 699–700 (1994)
Song, Z., Wu, Q., Zhao, F.: Academic achievement and personality of college students. Chinese Mental Health Journal 16, 121–123 (2002)
Goshen, C.E.: The Engineer Personality. The Bent of Tau Beta Pi. The Engineering Honor Society, 15–20 (1954)
Nagarjuna, V.L., Mamidenna, S.: Personality Characteristics of Commerce and Engineering Graduates – A Comparative Study. Journal of the Indian Academy of Applied Psychology 34(2), 303–308 (2008)
McCaulley, M.H., Godleski, E.S., Yokomoto, C.F., Harrisberger, L., Sloan, E.D.: Applications of Psychological Type in Engineering Education. Engineering Education 73, 394–400 (1983)
McCaulley, M.H., Macdaid, G.P., Granade, J.G.: ASEE-MBTI Engineering Consortium: Report of the First Five Years. In: Proceedings,1985 ASEE Annual Conference, ASEE North Carolina (1985)
Wankat, P., Oreovicz, F.: Teaching Engineering. McGraw-Hill, New York (1993)
Rosati, P.: Student Retention from First-Year Engineering Related to Personality Type. In: Proceedings Frontiers in Education Conference, Washington DC, pp. 37–39. IEEE (1993)
Rosati, P.: A Personality Type Perspective of Canadian Engineering Students. In: Proceedings, Annual Conference of the Canadian Society of Civil Engineering, CSCE, vol. 4, pp. 11–20 (1999)
Rothmann, S., Coetzer, E.P.: The Big Five Personality Dimensions and Job Performance. Journal of Industrial Psychology 29(1), 68–74 (2003)
Barrick, M.R., Mount, M.K.: The big five personality dimensions and job performance: A meta-analysis. Personnel Psychology 44, 1–26 (1991)
Salgado, J.F.: The five-factor model of personality and job performance in the European Community. Journal of Applied Psychology 82, 30–43 (1997)
Schneider, M.H.: The relationship of personality and job settings to job satisfaction. Dissertation Abstracts International: Section B: Science and Engineering 59, 6103 (1999)
Judge, T.A., Kammeyer-Mueller, J.D.: Personality and Career Success. In: Handbook of Career Studies, ch. 4, pp. 57–78. Sage Publications (2007)
Holland, J.L.: Making vocational choices: A theory of vocational personalities and work environments. Prentice Hall, Odessa (1997)
Costa Jr., P.T., McCrae, R.R.: Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual. Psychological Assessment Resources, Odessa (1992)
Selcuk, H., Cevikcan, E.: Job selection based on fuzzy AHP: An investigation including the students of Istanbul Technical University Management Faculty. Int. Journal of Business and Management Studies 3(1), 173–182 (2011)
Dereli, T., Durmusoglu, A., Ulusam, S.S., Avlanmaz, N.: A fuzzy approach for personnel selection process. TJFS: Turkish Journal of Fuzzy Systems 1(2), 126–140 (2010)
Nobari, S., Jabrailova, Z., Nobari, A.: Design a Fuzzy Model for Decision Support Systems in the Selection and Recruitment. In: Int. Conference on Innovation and Information Management. IPCSIT, vol. 36, pp. 195–200. IACSIT Press, Singapore (2012)
Aguilar, L., Melin, P., Castillo, O.: Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach. Applied Soft Computing 3(3), 209–219 (2003)
Melin, P., Castillo, O.: Intelligent control of a stepping motor drive using an adaptive neuro-fuzzy inference system. Inf. Sci. 170(2-4), 133–151 (2005)
Hui, H., Song, F.-J., Widjaja, J., Li, J.-H.: ANFIS-based fingerprint matching algorithm. Optical Engineering 43 (2004)
Gomathi, V., Ramar, K., Jeeyakumar, A.S.: Human Facial Expression Recognition Using MANFIS Model. Int. J. of Computer Science and Engineering 3(6), 335–339 (2009)
Fuzzy Logic Toolbox: User’s Guide of Matlab. The Mathworks, Inc. (1995-2009)
Rotter, J.B.: Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs 80(1), 1–28 (1966)
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Martínez, L.G., Castro, J.R., Licea, G., Rodríguez-Díaz, A., Salas, R. (2013). Towards a Personality Fuzzy Model Based on Big Five Patterns for Engineers Using an ANFIS Learning Approach. In: Batyrshin, I., Mendoza, M.G. (eds) Advances in Computational Intelligence. MICAI 2012. Lecture Notes in Computer Science(), vol 7630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37798-3_40
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DOI: https://doi.org/10.1007/978-3-642-37798-3_40
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