Received: 20-07-2020
Accepted: 30-11-2020
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Comparison Analysis of some MCDM Modelsand Applying in Decision Information System
,
Ngoc Minh Chau
1
,
Nguyen Xuan Thao
1
Keywords
SAW, MOORA, Entropy, MCD
Abstract
Practically, a decision-maker (DM) often faces the problem of choosing the best optimal from the alternatives based on given criteria, which is called the multiple criteria decision-making problem (MCDM). Many models have been studied and used to solve MCDM problems. However, it is wrong to declare that there is a certain method that is the best one. The main objective of this studywas to analyze and evaluate some methods of solving multi-criteria decision-making problems such as the SAW (Simple Additive Weighting), and MOORA (multi-objective optimization based on ratio analysis) method, and apply them to solve some problems in agriculture. To do that, we analyzed the SAW and MOORA methods and proposed improvement directions in the data normalization step and used fuzzy entropy to calculate weights for the model's criteria. After that, the improved models used to solve some problems in agriculture, such as the problem of choosing a mushroom cultivation formula, the problem of choosing a fertilizer for cashew trees. The results obtained after improvement were considered to be better.
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