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Students Performance Evaluation using MCDM Methods through Customized Software

by Pavani Sirigiri, H.S. Hota, L.K. Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 15
Year of Publication: 2015
Authors: Pavani Sirigiri, H.S. Hota, L.K. Sharma
10.5120/ijca2015907171

Pavani Sirigiri, H.S. Hota, L.K. Sharma . Students Performance Evaluation using MCDM Methods through Customized Software. International Journal of Computer Applications. 130, 15 ( November 2015), 11-14. DOI=10.5120/ijca2015907171

@article{ 10.5120/ijca2015907171,
author = { Pavani Sirigiri, H.S. Hota, L.K. Sharma },
title = { Students Performance Evaluation using MCDM Methods through Customized Software },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 15 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number15/23284-2015907171/ },
doi = { 10.5120/ijca2015907171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:57.213396+05:30
%A Pavani Sirigiri
%A H.S. Hota
%A L.K. Sharma
%T Students Performance Evaluation using MCDM Methods through Customized Software
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 15
%P 11-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi criterion Decision Making (MCDM) methods are widely applied in many domains for finding rank based on the available conflicting nature of the criteria and to choose the best alternative. MCDM methods comprise of complex mathematical calculations which required time to solve, especially, when number of criteria and alternatives are more. In order to automate the process software is required to develop, which will provide an interactive and dynamic way to solve problems with n numbers of ranks of the alternatives. This paper introduces developed software for solving MCDM based problems, including many MCDM methods and to evaluate the performance of software with two different case studies related to the performance of students.

References
  1. Awasthi, A. and Chauhan, S.S. 2012. A hybrid approach integrating affinity diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning, Applied Mathematical Modelling, 36(2), 573-584.
  2. Kutlu, AC and Ekmekcioglu, M. 2012. Fuzzy failure modes and effect analysis by using fuzzy TOPSIS-based fuzzy AHP, Expert system with Applications, 39(1), 61-67.
  3. Nepal, B., Yadav, O. P. and Murat, A. 2010. A fuzzy-AHP approach to prioritized of CS attributes in target planning for automotive product development, Expert System with Applications, 37(10), 6775-6786.
  4. Sen, C. G. and Cinar, G. 2010. Evaluation and pre-allocation of operators with multiple skills: A combined fuzzy AHP and max-min approach, Expert System with Applications, 37(3), 2043-2053.
  5. Chang, D. Y. 1992. Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, World Scientific, Vol. 1, 352-355.
  6. Ghosh, D. N. 2011. Analytic hierarchy process and TOPSIS method evaluate faculty performance in engineering education, UNIASCIT, 1(2), 63-70.
  7. Buyukozkan, G. and Cifci, G. 2012. A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry, Expert System with Applications, 39(3), 2341-2354.
  8. Chrysafiadi, K. and Virvou, M. 2012. Evaluating the integration of fuzzy logic into the student model of a web-based learning environment, Expert System with Applications, 39(18), 13127-13134.
  9. Dagdeviren, M., Yavuz, S. and Kilinc, N. 2009. Weapon selecting using the AHP and TOPSIS methods under fuzzy environment, An Expert system with applications, 36(4), 8143-8151.
  10. Duran, O. 2011. Computer-aided maintenance management system selection based on a fuzzy AHP approach, Advance in Engineering software, 42(10), 821-829.
  11. Saaty, T. L. 1980. The Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation, McGraw-Hill, New York.
  12. Cebeci, U. 2009. Fuzzy AHP-based decision support system for selecting ERP system in textile industry by using balanced scorecard, Expert System with Applications, 36(5), 8900-8909.
  13. Gurupur, V. P., Jain, G. P. and Rudraraju, R. 2015. Evaluating student learning using concept maps and markov chains, Expert Systems with Applications, 42(7), 3306-3314.
  14. Chou, Y., Sun, C. and Yen, H. 2012. Evaluating the criteria for human resource for science and technology based on an integrated fuzzy AHP and fuzzy DEMATEL approach, Applied Soft Computing, 12(1), 64-71.
  15. Jeremic, Z. and Jovanovic, J. and Gasevic, D. 2012. Student modelling and assessment in intelligent tutoring of software patterns, Expert Systems with Applications, 39(1), 210-222.
  16. Zadeh, L.A. 1965. Fuzzy Sets, Information and Control. 8, 338-353.
  17. Triantaphyllou, E. 2000. Multi-criteria Decision Making Methods: A Comparative Study, Vol. 44, Springer Science and Bussiness Media.
  18. Garvey, P. R. 2008. Analytical Methods for Risk Management: A System Engineering Perspective. CRC Press, Boca Raton, CRC Press, 243-250.
  19. Yong, D. 2006. Plant location selection based on fuzzy TOPSIS, Int. J. Adv. Manuf. Technol, 28 (7), 839-844.
  20. Chou, C. C. 2003. The canonical representation of multiplication operation on triangular fuzzy numbers, Computers & Mathematics with Applications, 45 (10-11), 1601-1610.
  21. Mehregan M. R. et al. 2011. Application of fuzzy analytic hierarchy process in ranking modern education systems, success criteria, Int. J. of e-Education, e-Business, e-Management and e-Learning, 1(4), 299-304.
  22. Amiri M. P. 2010. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37(9), 6218-6224.
Index Terms

Computer Science
Information Sciences

Keywords

Student Performance Ranking Multi Criterion Decision Making Fuzzy TOPSIS Fuzzy.

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