Abstract
Materials selection is a multiple criteria decision-making (MCDM) problem. There are numerous decision-making approaches that can be applied to material selection, and they can provide significant differences in material selection results. However, it is unclear which decision-making method is best. In this paper, an objective weighting criteria method (standard deviation) combined with various MCDM methods is presented. These methods determine the optimal alternative from all the accessible options and provide a ranking of the available options. The present paper examines the application of a few decision-making paradigms for selecting the most suitable alternatives. Five different composites reinforced with varying percentages of silicon nitride (Si3N4) are analysed with four different multi-criteria decision-making models, viz. Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR), COmplex PRoportional ASsessment (COPRAS), and Preference Ranking Organization Method for Enrichment Evaluations-II (PROMETHEE II) methods are used to predict the best alternative for automobile applications. The different composite materials were compared in order to present a list of all materials, ranging from the best to the worst. It has been observed that in all cases, the best classified alternative material is M4 (AA8011-15 %Si3N4).
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