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A Novice’s Application of Soft Expert Set: A Case Study on Students’ Course Registration

  • Selva Rani BEmail author
  • Ananda Kumar S
Conference paper
Part of the Trends in Mathematics book series (TM)

Abstract

A mathematical tool termed as soft set theory deals with uncertainty and was introduced by Molodtsov in 1999, which had been studied by many researchers, and some models were created to find a solution in decision-making. But, those models deal exactly with one expert in making a decision. There are situations in which more than one expert may get involved. S. Alkhazaleh and A.R. Salleh introduced a model with opinions from more than an expert which was coined as soft expert set in 2011. This method was found to be more effective compared with the traditional soft set theory. Now-a-days, educational institutions are relying on software tools and techniques in their academic processes. Applying Soft Expert Set in those processes would facilitate their decision making and yield better results. In this paper, the said concept would be applied for an institution’s course registration process that would facilitate students to choose from the list of faculty members offering the same course based on the faculty’s performance. The proposed approach may be generalized to a recommender system to accommodate institutions preferences over the set of deciding criteria.

Keywords

Soft expert set Decision-making Agree set Disagree set Recommendation 

References

  1. 1.
    Molodtsov, D.: Soft set theory-first results. Computers & Mathematics with Applications 37, 19–31 (1999)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Maji, P.K., Biswas, R.K., Roy, A.: Fuzzy soft sets. Journal of Fuzzy Mathematics 9, 589–602 (2001)MathSciNetzbMATHGoogle Scholar
  3. 3.
    Gong, K., Xiao, Z., & Zhang, X.: The bijective soft set with its operations 60, 2270–2278 (2010)Google Scholar
  4. 4.
    Xiao, Z., Gong, K., Xia, S., & Zou, Y. : Exclusive disjunctive soft sets. Computers & Mathematics with Applications 59, 2128–2137 (2010)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Maji, P.K., Roy, A.R. and Biswas, R.: An application of soft sets in a decision making problem. Computers & Mathematics with Applications 44, 1077–1083 (2002)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Bhardwaj, R.K., Tiwari, S.K. and Nayak, K.C.: A Study of Solving Decision Making Problem using soft set. IJLTEMAS IV, 26–32 (2015)Google Scholar
  7. 7.
    Feng, F., Cho, J., Pedrycz, W., Fujita, H. and Herawan, T.: Soft set based association rule mining. Knowledge-Based Systems 111, 268–282 (2016)CrossRefGoogle Scholar
  8. 8.
    Ma, X., Zhan, J., Ali, M.I. et al.: A survey of decision making methods based on two classes of hybrid soft set models. Artif Intell Rev (2018). https://doi.org/10.1007/s10462-016-9534-2 CrossRefGoogle Scholar
  9. 9.
    Ma, X., Liu, Q. & Zhan, J.: A survey of decision making methods based on certain hybrid soft set models. J. Artif Intell Rev (2017). https://doi.org/10.1007/s10462-016-9490-x CrossRefGoogle Scholar
  10. 10.
    Alkhazaleh, S. and Salleh, A.R.: Soft expert sets. Adv. Decis. Sci. 15, (2011)Google Scholar
  11. 11.
    Bashir, M. and Salleh, A.R.: Fuzzy parameterized soft expert set. Abstract and Applied Analysis 2012, 1–15 (2012)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Hazaymeh, A., Abdullah, I.B., Balkhi, Z. and Ibrahim, R.: Fuzzy parameterized fuzzy soft expert set 6, 5547–5564 (2012)Google Scholar
  13. 13.
    Bashir, M. and Salleh, A.R.: Possibility fuzzy soft expert set. Open Journal of Applied Sciences 12, 208–211 (2012)CrossRefGoogle Scholar
  14. 14.
    Hassan, N. and Alhazaymeh, K.: Vague soft expert set theory. AIP Conference Proceedings 1522, 953–958 (2013)CrossRefGoogle Scholar
  15. 15.
    Alkhazaleh, S. and Salleh, A.R.: Fuzzy soft expert set and its application. Applied Mathematics. 5, 1349–1368 (2014)CrossRefGoogle Scholar
  16. 16.
    Selvachandran, G. and Salleh, A.R.: Possibility intuitionistic fuzzy soft expert set theory and its application in decision making. International Journal of Mathematics and Mathematical Sciences, 1–11 (2015)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.VITVelloreIndia

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