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Articles

Fuzzy Regression in Predicting Math Achievement, Based on Philosophic-Mindedness, Creativity, Mathematics Self-efficacy, and Mathematics Self-concept

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Pages 322-334 | Received 24 Oct 2020, Accepted 11 Jan 2021, Published online: 09 Jul 2021

References

  • Pajares F. Self-efficacy in academic setting. Am Res Assoc. 1995;96:1–22.
  • Masitoh LF, Fitriyani H. Improving students' mathematics self-efficacy through problem based learning. Mal J Math Learn. 2018;1:26–30.
  • Anjum R. The impact of self-efficacy on mathematics achievement of primary school children. Pak J Psychol Res. 2006;21:61–78.
  • Wilkins JLM. Mathematics and science self-concept: an international investigation. J Exp Educ. 2004;72:331–346.
  • Easterbrook MJ, Kuppens T, Manstead ASR. Socioeconomic status and the structure of the self-concept. Br J Soc Psychol. 2020;59:66–86.
  • Sterenberg RJ. Handbook of human intelligence. Oxford: Cambridge University Press; 2001.
  • Fleith SD, Renzulli KL. Effects of creativity training program on divergent thinking abilities and self-concept in mono-lingual and bilingual classrooms. Great Res J. 2002;14:373–386.
  • Kim T, Sotirova E, Shannon A, et al. Interval valued intuitionistic fuzzy evaluations for analysis of a student's knowledge in university e-learning courses. Int J Fuzzy Log Intell Syst. 2018;18:190–195.
  • Marmur O, Zazkis R. Space of fuzziness: avoidance of deterministic decisions in the case of the inverse function. Educ Stud Math. 2018;99(3):261–275.
  • Smith PG. Philosophic-mindedness in educational administration. Columbus: Ohio State University; 1956.
  • Shahini G, Nouri Z. Investigating students' philosophic-mindedness through their producing philosophical questions: hindering and facilitating factors. IIUM J Educ Stud. 2019;6:18–37.
  • Raudsepp E. Creative growth games. New York: Putnam; 1999.
  • Bandura A. Self-efficacy. The exercise of control. New York: Freeman; 1994.
  • Marsh HW, Dowson M, Pietsc J, et al. Why multicollinearity matters: a reexamination of relation between self-efficacy, self-concept, achievement. J Educ Psychol. 2004;96:518–522.
  • Adriaenssens V, Baets BD, Goethlas LM, et al. Fuzzy rule-based models for decision support in ecosystem management. Sci. Total Environ.. 2004;319:1–12.
  • Pajares F, Miller MD. Role of self-efficacy and self-concept beliefs in mathematical problem solving: a path analysis. J Educ Psychol. 1994;86:193–0.
  • Pajares F, Miller MD. Mathematics self-efficacy and mathematics performances: the need for specificity of assessment. J Couns Psychol. 1995;42:190–198.
  • Pajares F, Kranzler J. Self-efficacy beliefs and general mental ability in mathematical problem-solving. Contemp Educ Psychol. 1995;20:426–443.
  • Tanaka H, Ueima S, Asai K. Linear regression analysis with fuzzy model. IEEE Trans Systems Man Cybernet.. 1982;12:903–907.
  • Michal Černý M, Hladík M. Possibilistic linear regression with fuzzy data: tolerance approach with prior information. Fuzzy Sets Syst. 2018;340:127–144.
  • Hao PY Dual possibilistic regression analysis using support vector networks. Fuzzy Sets Syst. 2019. doi:10.1016/j.fss.2019.03.012
  • Pourahmad S, Ayatollahi SMT, Taheri SM, et al. Fuzzy logistic regression based on the least squares approach with application in clinical studies. Comput Math Appl. 2011;62:3353–3365.
  • D'Urso P, Massari R. Weighted least squares and least median squares estimation for the fuzzy linear regression analysis. Metron. 2013;71:279–306.
  • Yoon JH, Choi JH, Grzegorzewski P. On asymptotic properties of the multiple fuzzy least squares estimator. In Advances in intelligent systems and computing. Springer; 2016. p. 525–532. (AISC, volume 456, Soft Methods for Data Science).
  • Salmani F, Taheri SM, Yoon JH, et al. Logistic regression for fuzzy covariates: modeling, inference, and applications. Int J Fuzzy Syst. 2016;19:1635–1644.
  • Taheri SM, Chachi J. A robust variable-spread fuzzy regression model. In: Studies in fuzziness and soft computing. Vol. 393. Springer; 2020. p. 309–320.
  • Arefi M. Quantile fuzzy regression based on fuzzy outputs and fuzzy parameters. Soft Comput. 2020;24:311–320.
  • Taheri SM. Trends in fuzzy statistics. Austrian J Stat. 2003;32:239–257.
  • Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: theory and applications. New Delhi: Prentice Hall; 1995.