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.
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B, S.R., S, A.K. (2018). A Novice’s Application of Soft Expert Set: A Case Study on Students’ Course Registration. In: Madhu, V., Manimaran, A., Easwaramoorthy, D., Kalpanapriya, D., Mubashir Unnissa, M. (eds) Advances in Algebra and Analysis. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-01120-8_45
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DOI: https://doi.org/10.1007/978-3-030-01120-8_45
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