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Determining Students Expectation in Present Education System Using Fuzzy Analytic Hierarchy Process

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Mining Intelligence and Knowledge Exploration

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8284))

Abstract

This work is based on the extensive analysis of the student expectation from the Present Education System. It is a major focused area for the bright future of the country . Selection of the right educational institution for the student is a crucial decision for the parents, this requires optimizing a number of criteria based on their expectations. .Education the Engineering Colleges in Tamilnadu is considered as sample with Fuzzy Analytic Hierarchy Process (FAHP). FAHP is applied to find the degree of each criterion of the education institutions. In this study nine kinds of key attributes are used based on expert opinion teachers and academicians of Technical educational institutions. Using these attributes a comparison matrix and triangular membership function have been formed which helps to evaluate the attributes of the present Technical institutions in Tamilnadu.

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References

  1. Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  2. Triantaphyllou, E., Mann, S.H.: Using The Analytic Hierarchy Process For Decision Making In Engineering Applications: Some Challenges’. Inter’l Journal of Industrial Engineering: Applications and Practice 2(1), 35–44 (1995)

    Google Scholar 

  3. Kwong, C.K., Bai, H.: A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment (2001)

    Google Scholar 

  4. Yadav, H.C., Jain, R.: Prioritized aesthetic attributes of product: A fuzzy-AHP approach. International Journal of Engineering Science and Technology 4(4) (April 2012)

    Google Scholar 

  5. Catak, F.O., Karabas, S., Yildirim, S.: Fusy Analytic Hierarchy Based DBMS Selection In Turkish National Identity Card Management Project (2012)

    Google Scholar 

  6. Hsu, Y.-L., Lee, C.-H., Kreng(2010) The, V.B.: The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection (2010), www.elsevier.com/locate/eswa

  7. Saaty, T.L.: Fundamentals of Decision-Making and Priority Theory with the AHP. RWS Publications, Pittsburg (1994)

    Google Scholar 

  8. Kong, F., Liu, H.: Appling fuzzy analytic Hierarchy process to Evaluate Success Factors of E-Commerce. International Journal of Information and Systems Science 1(3-4), 406–412 (2005)

    MATH  Google Scholar 

  9. Ahmed, A., Kusumo, R., Savci, S.: Application of Analytical Hierarchy Process and Bayesian Belief Networks for Risk Analysis. Complexity International 12 (2005)

    Google Scholar 

  10. Zeki AYA˘ G- IIE.: A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment byTransactions 37,827–842 (2005), CopyrightC IIE- ISSN: 0740-817X, print / 1545-8830 online-DOI: 10.1080/07408170590969852 (2004)

    Google Scholar 

  11. Hsu, Y.-L., Lee, C.-H., Kreng, V.B.: The application of fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications 37(1), 419–425 (2010)

    Article  Google Scholar 

  12. Guo, L.: A Research on Influencing Factors of Consumer Purchasing Behaviors in Cyberspace. International Journal of Marketing Studies 3(3) (August 2011)

    Google Scholar 

  13. Shaverdi, M., Barzin, P.: Applying fuzzy AHP to determination of optimum selection method for economic cocoon traits improvement in silkworm breeding. Business Systems Review 1(1) (2012) ISSN: 2280-3866

    Google Scholar 

  14. AğIrgün, B.: Supplier Selection Based on Fuzzy Rough-AHP and VIKOR, vol. 2, pp. 1–11. Nevşehir Üniversitesi Fen Bilimleri Enstitü Dergisi (2012)

    Google Scholar 

  15. Wang, D., Zhang, H.: A Comparison of Fuzzy-AHP and Rough Set in Abnormal Weather Prediction. Journal of Computational Information Systems 8(14), 5991–5998 (2012)

    Google Scholar 

  16. Chen, Y.-C., Yu, T.-H., Tsui, P.-L., Lee, C.-S.: A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model. Springer Science+Business Media Dordrecht (2012) Qual Quant doi: 10.1007/s11135-012-9792-2

    Google Scholar 

  17. Koul, S., Verma, R.: Dynamic Vendor Selection: A Fuzzy Ahp Approach. International Journal of the Analytic Hierarchy Process 4(2) (2012) ISSN 1936-674

    Google Scholar 

  18. Ishizaka, A., Nguyen, N.H.: Calibrated Fuzzy AHP for current bank account selection. Expert Systems with Applications 40(9), 3775–3783 (2013)

    Article  Google Scholar 

  19. Lee, S.K.: A fuzzy analytic hierarchy process (AHP) /data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices, 1364-0321/ - see front matter & 2013 Elsevier Ltd. All rights reserved, http://dx.doi.org/10.1016/j.rser.2012.12.067

  20. Verma., A., Gangele, A.: Investigation with Fuzzy Analytic Hierarchy Process of Green Supply Chain Management. International Journal of Innovative Technology & creative Engineering 2(5) (2012) ISSN:2045-8711

    Google Scholar 

  21. Chou, C.-C., Yu, K.-W.: Application of a New Hybrid Fuzzy AHP Model to the Location Choice, Mathematical Problems in Engineering Volume 2013, Article ID 592138, 12 pages. Hindawi Publishing Corporation (2013), http://dx.doi.org/10.1155/2013/592138

  22. Rouhani, S., Ashrafi, A., Afshari, S.: Segmenting Critical Success Factors for ERP Implementation Using an Integrated Fuzzy AHP and FuzzyDEMATEL Approach. World Applied Sciences Journal 22(8), 1066–1079 (2013) ISSN 1818-4952, doi: 10.5829/ idosi.wasj.2013.22.08.631

    Google Scholar 

  23. Aggarwal, R., Singh, S.: AHP and Extent Fuzzy AHP Approach for Prioritization of Performance Measurement Attributes. World Academy of Science, Engineering and Technology 73 (2013)

    Google Scholar 

  24. Tas, A.: A Fuzzy AHP approach for selecting a global supplier in pharmaceutical industry. African Journal of Business Management 6(14), 5073–5084 (2012), doi: 0.5897/AJBM11.2939, ISSN 1993-8233, http://www.academicjournals.org/AJBM

    Google Scholar 

  25. Astuti, R.: Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study. Operations And Supply Chain Management 6(1), 11–25 (2013) ISSN 1979-3561| E, ISSN 1979-3871

    Google Scholar 

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Rajaprakash, S., Ponnusamy, R. (2013). Determining Students Expectation in Present Education System Using Fuzzy Analytic Hierarchy Process. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_55

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  • DOI: https://doi.org/10.1007/978-3-319-03844-5_55

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03843-8

  • Online ISBN: 978-3-319-03844-5

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