Title: FUZZY ALGORITHM FOR SELECTING STUDENTS FROM LOW INCOME FAMILY

Year of Publication: Jul - 2013
Page Numbers: 8-13
Authors: Zamali Tarmudi, Nasrah Naharu, Tammie Christy Saibin, Ling Ling Ung
Conference Name: The Fourth International Conference on e-Learning (ICEL2013)
- Czech Republic

Abstract:


This research introduces a new algorithm to select students from low income family using fuzzy approach. It focuses on the refinement and modification of certain variables in selection process. The technique employs the intersection of fuzzy goals and constraints concept in judgmental process. The initial input was directly obtained based on the multi-person opinion and experiences. A numerical example was fully utilized to demonstrate the applicability of the proposed method. It shows that the proposed approach has successful dealt with the uncertainty of the input datasets and beneficially for student’s selection purposes. As a result, the decision for selection process can be derived successfully in a simple manner and the proposed algorithm offers a new dimension technique as well from the tradition point of views. Finally, our new refinement and modification of the variables can derive more precise in terms of representing the actual situation.