Ontological Framework for Analyzing Student’s Emotional behavior Performance Enhancement Using Fuzzy Logic

Authors

  • Kirthika Ashokkumar B. Tech Computer Science and Engineering, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India. Author
  • Naren J. Assistant Professor, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India. Author
  • Rakshanasri S.L. B. Tech Computer Science and Engineering, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India. Author
  • Dr. G. Vithya Professor-Research, Department of Computer Science and Engineering, Parisutham Institute of Technology and Science, Thanjavur. Author

DOI:

https://doi.org/10.61841/745t2c69

Keywords:

Personality Traits, Semantic Feedback, Ontology, Fuzzy Logic

Abstract

Personality refers to variations in one’s personal attributes subjected to various events throughout the accustomed life cycle in an individual. The projection of the individual’s mind in a behavioral activity also depicts one’s personality. In the paper a framework for analyzing a University Student’s performance efficiency for a job at workplace has been proposed. Students have been classified psychologically for determining overall efficiency based on different aspects such as emotional level, holistic approach, confidence level, stress and time management. The psychological factors and the relationships between them is depicted as an Emotion Ontology which gives a clear understanding for the system to be developed in the future based on the framework. By improving the individual traits efficiency of a person can have ameliorations which get reflected in the person’s work environment. The data set for training the proposed system is to be collected through questionnaires from which linguistic values are fed as input to the fuzzy Inference Engine along with association rules. The output of the system would also be a linguistic value with which the efficiency of the person is determined. 

Downloads

Download data is not yet available.

References

[1] Kulhavy, R.W., Wager, W. Feedback in programmed instruction: Historical context and Implications for practice in Interactive instruction and feedback. pp. 3-20 (1993).

[2] edro J. Muñoz-Merino1, Abelardo Pardo, Maren Scheffel, Katja Niemann, Martin Wolpers, Derick Leony, and Carlos Delgado Kloos, “An Ontological Framework for Adaptive Feedback to Support Students while Programming”, International Semantic Web Conference. (2011).

[3] Devadoss, Nilavu, and Sivakumar Ramakrishnan. "Development of Fuzzy Rough Features in Ontology Knowledge Representation.” Journal of Engineering Technology, Volume 3, July. 2015, Pages 114-134.

[4] Shruti.S Jamsandekar, R.R Mudholkar, “Performance Evaluation by Fuzzy Inference Technique”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-3, Issue- 2, May 2013.

[5] F. Bobillo and U.Straccia, "Fuzzy ontology representation using OWL 2", Int. J. Approx. Reason., vol. 52, no. 7, pp. 1073-1094, Oct. 2011.

[6] Tho, Quan Thanh, et al. "Automatic fuzzy ontology generation for semantic web." IEEE transactions on knowledge and data engineering 18.6 (2006): 842-856.

[7] Banswal, Ritu, and Vishu Madaan. "SPACS: Students' Performance Analysis and Counseling System Using Fuzzy logic and Association Rule Mining." International Journal of Computer Applications 134.3 (2016): 12-17.

[8] Shah, Ameet D., and S. A. Ladhake. "Multiuser feedback System based on performance and Appraisal using Fuzzy logic decision support system." 2013 International journal for engineering applications and technology (IJFEAT)-issues, Volume 2 Issue 1 pp. 1-10.

[9] In goley, Shilpa N., and J.W. Bakal. "Evaluating Students Performance using Fuzzy Logic."

International Conference, IJCA Proceedings on International Conference on Recent Trends in Information Technology and Computer Science, ICRTITCS (9) (2012).

[10] Patil, Suvarna, Ayesha Mulla, and R.R. Mudholkar. "Best Student Award–A fuzzy Evaluation Approach." International Journal of Computer Science and Communication 3.1: 9-12, (2012).

[11] Kaur, Tanu meets, and Amardeep Kaur. "Extension of a crisp ontology of fuzzy ontology" International Journal of Computational Engineering Research (ijceronline.com) Vol 2: 201-207.

[12] Nilavu Devadoss et al., (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (5), 4304-4308. (2015).

Downloads

Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

Ashokkumar, K., J. , N., S.L., R., & G. , V. (2020). Ontological Framework for Analyzing Student’s Emotional behavior Performance Enhancement Using Fuzzy Logic. International Journal of Psychosocial Rehabilitation, 24(2), 10-18. https://doi.org/10.61841/745t2c69