CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Grey Relational Analysis based Intuitionistic Fuzzy Multi-Criteria Group Decision-Making Approach for Teacher Selection in Higher Education

by Surapati Pramanik, Dulal Mukhopadhyaya
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 10
Year of Publication: 2011
Authors: Surapati Pramanik, Dulal Mukhopadhyaya
10.5120/4138-5985

Surapati Pramanik, Dulal Mukhopadhyaya . Grey Relational Analysis based Intuitionistic Fuzzy Multi-Criteria Group Decision-Making Approach for Teacher Selection in Higher Education. International Journal of Computer Applications. 34, 10 ( November 2011), 21-29. DOI=10.5120/4138-5985

@article{ 10.5120/4138-5985,
author = { Surapati Pramanik, Dulal Mukhopadhyaya },
title = { Grey Relational Analysis based Intuitionistic Fuzzy Multi-Criteria Group Decision-Making Approach for Teacher Selection in Higher Education },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 10 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number10/4138-5985/ },
doi = { 10.5120/4138-5985 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:43.550083+05:30
%A Surapati Pramanik
%A Dulal Mukhopadhyaya
%T Grey Relational Analysis based Intuitionistic Fuzzy Multi-Criteria Group Decision-Making Approach for Teacher Selection in Higher Education
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 10
%P 21-29
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Teacher selection is a group decision-making process under multiple criteria involving subjectivity, imprecision, and vagueness, which are best represented by intuitionistic fuzzy sets. An intuitionistic fuzzy set, which is characterized by membership function (degree of acceptance), non-membership function (degree of rejection) and the degree of indeterminacy or the degree of hesitancy, is a more general and suitable way to deal with imprecise information, when compared to a fuzzy set. The purpose of this study is to develop an intuitionistic fuzzy multi criteria group making method with grey relational analysis for teacher selection in higher education. Intuitionistic fuzzy weighted averaging operator is used to aggregate individual opinions of decision makers into a group opinion. Eight criteria obtained from expert opinions are considered for selection process. The criteria are namely academic performances, teaching aptitude, research experience, leadership quality, personality, management capacity, and values. Weights of the criteria are obtained by using a questionnaire. The weights of decision makers are considered as equal i.e. their importance are equal. The rating of an alternative with respect to certain criteria offered by decision maker is represented by linguistic variable that can be expressed by intuitionistic fuzzy sets. Grey relational analysis is used for ranking and selection of alternatives to constitute a panel of selected candidates. An educational problem for teacher selection is provided to illustrate the effectiveness of the proposed model.

References
  1. Hwang, L, and Lin, M. J. 1987 Group Decision Making under Multiple Criteria: Methods and Applications. Springer-Verlag, Heidelberg.
  2. Lin, L., Yuan, X. H., and Xia, Z. Q. 2007. Multicriteria fuzzy decision-making based on intuitionistic fuzzy sets. Journal of Computers and Systems Sciences 73(1), 84-88.
  3. Lin, L., Yuan, X. H., and Xia, Z. Q. 2007. Multicriteria fuzzy decision-making based on intuitionistic fuzzy sets. Journal of Computers and Systems Sciences 73(1), 84-88.
  4. Liu, H. W., & Wang, G. J. 2007. Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research 179, 220-233.
  5. Zadeh, L.A. 1965. Fuzzy Sets, Information and Control 8, 338-353.
  6. Atanassov, K. T. 1986. Intuitionistic fuzzy sets. Fuzzy Sets and Systems 20(1), 87–96.
  7. Liang, S. L., & Wang, M. J. 1994. Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research 78, 22–33.
  8. Karsak, E. E. 2001. Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Lecture Notes in Economics and Mathematical Systems 507, 393–402.
  9. Gibney, R., & Shang, J. 2007. Decision making in academia: A case of the dean selection process. Mathematical and Computer Modelling 46(7-8), 1030–1040.
  10. Günör, Z., Serhadlıog˘lu, G., & Kesen, S. E. 2009. A fuzzy AHP approach to personnel selection problem. Applied Soft Computing 9, 641–646.
  11. Dağdeviren, M. 2010. A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing 21, 451–460.
  12. Dursun, M., & Karsak, E. E. 2010. A fuzzy MCDM approach for personnel selection. Expert Systems with Applications 37, 4324–4330.
  13. Robertson, I. T., & Smith, B. 2001. Personnel selection. Journal of Occupational and Organizational Psychology 74, 441–472.
  14. Ehrgott, M., & Gandibbleux, X. 2002. Mulitple criteria optimization: state of the art annotated bibliography survey. Kluwer Academic Publishers, Boston.
  15. Olver, J. M., & Mooradian, T. A. 2003. Personality traits and personal values: a conceptual and empirical integration. Personality and Individual Differences 35, 109–125.
  16. Caspi, A., Roberts, B. W., & Shiner, R. L. 2005. Personality development: stability and change. Annual Review of Psychology 56, 453–484.
  17. Bouchard, T. J. Jr., (1997). Genetic influence on mental abilities, personality, vocational interests and work attitudes. In C. L. Cooper & I. T. Robertson (Eds.), International review of industrial and organizational psychology (Volume. 12, pp. 373–395). John Wiley & Sons Ltd.
  18. Goldberg, L. R. 1993. The structure of phenotypic personality traits. American Psychologist 48, 26–34.
  19. Costa, P. T., & McCrae, R. R. (1992). Revised NEO personality inventory (NEO-PI-R) and Neo five-factor inventory (NEO-FFI). Professional manual. Odessa, FL: Psychological Assessment Resources.
  20. Parks, L., & Guay, R.P. 2009. Personality, values, and motivation. Personality and Individual Differences 47, 675–684.
  21. Aidla, A., & Vadi, M. 2010. Personality traits attributed to Estonian school teachers. Review of International Comparative Management 11(4), 591-602.
  22. Schwartz, S. H. 1994. Are there universal aspects in the structure and contents of human values? Journal of Social Issues 50, 19–45.
  23. Schwartz, S. H., & Bilsky, W. 1987. Toward a psychological structure of human values. Journal of Personality and Social Psychology 53, 550–562.
  24. Schwartz, S. H., & Bilsky, W. 1990. Theory of the universal content and structure of values: extensions and cross-cultural replications. Journal of Personality and Social Psychology 58, 878–891.
  25. Deng, J. L. 1989. Introduction to grey system theory. The Journal of Grey System 1(1), 1–24.
  26. Zhang, S. F. & Liu, S. Y. 2011. A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications 38 11401–11405.
  27. Boran, F. E., Genc, S., Kurt, M., & Akay, D. 2009. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications 36(8), 11363–11368.
  28. Xu, Z. S. 2007. Intuitionistic fuzzy aggregation operators. IEEE Transaction of Fuzzy Systems 15(6), 1179–1187.
  29. Vlachos, I. K., & Sergiadis, G. D. 2007. Intuitionistic fuzzy information -Applications to pattern recognition. Pattern Recognition Letters 28, 197–206.
  30. Arvey, R. D., & Campion, J. E. (1982). The employment interview: A summary and review of recent research, Personnel Psychology 35(2), 281–322.
  31. Campion, M.A., Pursell, E. D., & Brown, B. K. 1988. Structured interviewing; raising the psychometric properties of the employment interview. Personnel Psychology 41(1), 25–42.
  32. Xu, Z. S., & Yager, R. R. 2008. Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning 48(1), 246–262.
  33. Smarandache, F. 2005. Neutrosophic set. A generalization of intuitionistic fuzzy sets. International Journal of Pure and Applied Mathematics 24, 287-297.
Index Terms

Computer Science
Information Sciences

Keywords

Intuitionistic Fuzzy sets Multi Criteria Group Decision-Making Grey System Theory Grey Relational Analysis Grey Relational Coefficient

Powered by PhDFocusTM