Analysis of Faculty Teaching using Multi-criteria Decision Making Approach

  • Authors

    • Dhrubajyoti Ghosh
    • Anita Pal
    2018-05-16
    https://doi.org/10.14419/ijet.v7i2.28.12884
  • Feedback system, hybrid score accuracy function, single valued neutrosophic number, neutrosophic set
  • Abstract

    In order to maintain a good standardof any college, the institution should follow paper  based  approach  or  web-based approach  to  gather  student  feedback  on  faculty  teaching to maintain the qualities of the faculty. Students have very much concerned about their teachers who have played a vital role in their life in both outside or inside of the institutions which helps them to justify a teacher and it comes in form of their feedback. In this paper, we introduce a ranking method of the given feedback's factors of teacher's performances with the help of multi-criteria decision making approach using neutrosophic logic.  We  use  the  score   and  accuracy functions  and  the  hybrid  score-accuracy  functions  of single  valued  neutrosophic  numbers  (SVNNs)  and ranking  method  for  SVNNs.

     

  • References

    1. [1] E. E. Karsak. Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions, Lecture Notes in Economics and Mathematical Systems, vol.507, 2001, pp.393–402.

      [2] F. Smarandache. Neutrosophic set. a generalization of intuitionistic fuzzy sets, International Journal of Pure and Applied Mathematics, vol. 24, 2005, pp.287-297.

      [3] J. Ye. Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment, International Journal of General Systems, vol.4, 2013, pp.386-394.

      [4] J. Ye. Multiple attribute group decision-making methods with unknown weights in intuitionistic fuzzy setting and interval-valued intuitionistic fuzzy setting, International Journal of General Systems, vol.5, 2013, , pp.489-502.

      [5] K. Atanassov. Intuitionistic fuzzy sets, Fuzzy Sets and Systems, v20, ,1986, pp.8l.7-96.

      [6] K.Atanassov, G.Gargov,Interval valued intuitionistic fuzzy sets, vol. 31, 1989, , pp. 343-349.

      [7] K. Mondol, S. Pramanik, Multi-criteria Group Decison Making Approach for Teacher Recruitment in Higher Education under Simplified Neutrosophic Environment, vol. 6, 2014, , pp. 28-34.

      [8] L. A. Zadeh. Fuzzy Sets, Information and Control, vol.8, 1965, pp.338-353.

      [9] M. Ehrgott and X. Gandibbleux. Mulitple-criteria optimization: state of the art annotated bibliography survey, Kluwer Academic Publishers, Boston, 2002.

      [10] M. Dursun, and E. E. Karsak. A fuzzy MCDM approach for personnel selection, Expert Systems with Applications, vol.37, 2010, pp.4324–4330.S. L.Liang, and M. J.Wang. Personnel selection using fuzzy MCDM algorithm, European Journal of Operational Research, vol.78, 1994, pp.22–33.

  • Downloads

  • How to Cite

    Ghosh, D., & Pal, A. (2018). Analysis of Faculty Teaching using Multi-criteria Decision Making Approach. International Journal of Engineering & Technology, 7(2.28), 74-78. https://doi.org/10.14419/ijet.v7i2.28.12884

    Received date: 2018-05-16

    Accepted date: 2018-05-16

    Published date: 2018-05-16