Implementation of fuzzy multi criteria decision making for determining student rank (Case study: Bimbel plus IKA)

The concept of a Decision Support System (DSS), one of the branches in artificial intelligence, is widely used. There are many methods in DSS which are useful to find the optimum solution or alternative solution for a problem. One such method is Fuzzy Multi-Criteria Decision Making (FMCDM). This met...

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Main Authors: Effendi, Yutika Amelia, Nuzulita, Nania
Format: Conference Proceeding
Language:English
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Artificial intelligence
Decision support systems
Mathematical analysis
Multiple criterion
Problem solving
Weighting methods
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Nuzulita, Nania
description The concept of a Decision Support System (DSS), one of the branches in artificial intelligence, is widely used. There are many methods in DSS which are useful to find the optimum solution or alternative solution for a problem. One such method is Fuzzy Multi-Criteria Decision Making (FMCDM). This method will help decision makers in situations where there are many alternative decisions with several criteria available. This paper presents a new way to define student rank by implementing Fuzzy Multiple Criteria Decision Making (FMCDM) method with problem solving using the Simple Addictive Weighting Method (SAW). The results of this study were the ranking process obtained by the sum of the multiplication of normalized matrix with a weight vector so that the greatest value is chosen as the best alternative as the solution for determining student rank in Bimbel Plus IKA.
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subjects Artificial intelligence
Decision support systems
Mathematical analysis
Multiple criterion
Problem solving
Weighting methods
title Implementation of fuzzy multi criteria decision making for determining student rank (Case study: Bimbel plus IKA)
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