Abstract
Selection of natural fibers in composites for usage in aircraft or spacecraft cabin interior requires determining the performance scores for various criteria specified by material requirements. Because of the widespread available alternatives and their various criteria, it becomes a Multi criteria Decision Making (MCDM) problem and requires statistical methods to carry out the selection process. However, the selection process of the most suitable natural fiber can provide different results depending on their assigned weightages and sensitivity to the variation of that weightages. The main contribution of this study lies in analyzing the sensitivity of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for subjective weightage method: Analytic Hierarchy Process (AHP) and objective weightage method: CRiteria Importance Through Inter-criteria Correlation (CRITIC) for the selection of the best natural fiber among twelve alternatives by eliminating the rank reversal problem. This study will assist the researchers in this field to focus on developing the best possible natural fiber reinforced polymer composites for applications in the aerospace cabin interior.
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