# Analysis of Faculty Teaching using Multi-criteria Decision Making Approach

• ## Authors

• Dhrubajyoti Ghosh
• Anita Pal
2018-05-16
• 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 paperÂ  basedÂ  approachÂ  orÂ  web-based approachÂ  toÂ  gatherÂ  studentÂ  feedbackÂ  onÂ  facultyÂ  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.Â  WeÂ  useÂ  theÂ  scoreÂ Â  andÂ  accuracy functionsÂ  andÂ  theÂ  hybridÂ  score-accuracyÂ  functionsÂ  of singleÂ  valuedÂ  neutrosophicÂ  numbersÂ  (SVNNs)Â  and rankingÂ  methodÂ  forÂ  SVNNs.

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• ## 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.393â€“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.4324â€“4330.S. L.Liang, and M. J.Wang. Personnel selection using fuzzy MCDM algorithm, European Journal of Operational Research, vol.78, 1994, pp.22â€“33.