I think AHP Fuzzy maybe good for this, but I want some help to adopt a new, strong and better method that can cause the research be more valuable.
You can find more details in the attached paper (A similar application in the field of natural resources management).
Thanks Matthew for your answer, you mean there is no need to use methods like AHP, and just experts opinion about weight of criteria are enough? i want to present a new model with criteria that evaluate performance of students to select the top student ( in e-learning systems)
Hello,
I'll try to make a small contribution. Who is the best student? The student who got the highest scores or who improved more, had more growth (comparing him with himself)? Perhaps this can be a criterion to be considered too.
Because we value? To choose the best building a selective and elitist system or to track and monitor the progress of our students. See how they are improving. If you are not getting stagnant. I also agree that there are goals to be reached as to ensure the quality of the course, for example.
I do not know if I helped at something l0l.
Regards,
S.
Thinking after posting the previous comment. Perhaps students do not have to search far because no such requirement (goal). May establish a minimum amount of research throughout the course and this be taken into account in consideration too.
Anyway, I think only a methodology does not account for assessing students.
One way to decide this is from the objectives (goals) of the course. What is expected that a student who reaches the end of the course to give account? Answer it maybe take in deciding how to assess and how to weigh the results of each student.
My posts above considerations in vain to try and help you choose the criteria to be evaluated and the weight of the weights.
See you later,
S.
Thank you Sérgio, yes i agree with you too. the objectives or expections from students are important and determines the criterias tu evaluating their performance.
Dear Mosen,
As a suggestion, may the classical MCDM method helps.
You can use interval weighting technique, where each index value is standardised to a range between 0 and 1 and each standardised value is multiplied by its respective weight. Here, the DELPHI method can be use for determining the weight of each criterion. The weighted sum then determines the best student. In the interval weighing technique, the indices are categorised into two groups: benefits (desirable) and costs (undesirable).
You can find more details in the attached paper (A similar application in the field of natural resources management).
@Mohsen,
Also the following link may help you find what you're looking for.
https://www.researchgate.net/post/Could_anyone_suggest_a_publication_according_to_determination_of_weights_in_multi-criteria_optimization
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