Comparative Evaluation of Students’ Performance in Campus Recruitment of a Technical Institution through Fuzzy-Multi Criteria Decision Making Techniques
Keywords:
IT1F set, IT2F set, AHP, TOPSIS, Group Decision Making and Spearman Rank Correlation MethodAbstract
In today’s world Campus placements at any Technical college in India and in the life of any student/graduate are very defining moments that students look up to and prepare themselves thoroughly to score high and well but as well as to impress their potential future employers. It is the one time that students get a precise chance to make that practical application of their technical and employable soundness to the representatives of the corporate management of the particular industry they opted for or chose in the first place. Campus Placement is a process of performance evaluation of each selected candidates with respect to some pre-assigned specific criteria by the experts. For these, an attempt has been made here to assessment of some criteria by (TOPSIS) ―Technique for Order Preference by Similarity to Ideal Solution‖ and (AHP) ―Analytical Hierarchy Process‖ under Interval Type-1 fuzzy environment (IT1F) and Interval Type-2 fuzzy environment (IT2F). These factors for Placement system are identified through the different company’s placement procedure. Here several experts gave their opinion on the basis of students’ performance. The result showed that the proposed model yields more realistic way to evaluate the performance for each student according to pre assigned criteria
References
C.L. Hwang, K. Yoon, ―Multiple Attribute Decision Making Methods and Applications‖, Springer, Berlin Heidelberg, (1981).
Dipendra Nath Ghosh,‖Analytic Hierarchy Process & TOPSIS Method to Evaluate Faculty Performance in Engineering Education‖, UNIASCIT, Vol. 1(2), 2011, 63-70 (2011).
D.Y. Chang, Applications of the Extent Analysis Method on Fuzzy AHP, European Journal of Operational Research, 95, pp. 649-655 (1996).
F. Zahedi, ―The analytic Hierarchy process-A survey of the method and its applications,‖ Interfaces, Vol. 16, pp.343-350, 1977.
G.R. Jahanshahloo, F. HosseinzadehLotfi, M. Izadikhah, ―An algorithmic method to extend TOPSIS for decision-making problems with interval data‖, Applied Mathematics and Computation, 2005.
G. Bojadziev and M. Bojadziev, 1998.Fuzzy sets and fuzzy logic applications, World Scientific, Singapore (1998).
H. J. Zimmermann, Fuzzy set theory and its applications, Kluwer, Boston (1992).
Karnik, N.N., Mendel, J.M.: Centroid of a type-2 fuzzy set. Inf. Sci. 132, 195– 220 (2001) 8. Karnik, N.N., Mendel, J.M., Liang, Q.: Type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 7, 643– 658 (1999).
M.A. Abo-Sinna, & A.H. Amer, ―Extensions of TOPSIS for multiobjective large-scale nonlinear programming problems‖, Applied Mathematics and Computation 162, 243–256, 2005.
Mendel, J.M., John, R., Liu, F., 2006. Interval type-2 fuzzy logic systems made simple. IEEE Trans. Fuzzy Syst. 14 (6), 808–821.
Mendel, J.M., 2007. Type-2 fuzzy sets and systems: an overview. Comput.Intell. Mag., IEEE 2 (1), 20–29.
Pabitra Kumar Dey, Saindhab Chattaraj and Dipendra Nath
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
