Natural Plant Fiber Selection Using Multi-Criteria Decision Making (MCDM) Techniques

Published: 6 April 2022| Version 1 | DOI: 10.17632/45djc8ht9p.1


A novel technique designed in MATLAB for natural plant fiber selection based on the chemical constituents of the fibers as well as the correlation between the properties of the fibers and their chemical constituents using different multi-criteria decision making (MCDM) techniques. Data shows all the properties and chemical constituents of natural fibers considered in this study. The following MCDM techniques were used: Simple Additive Weightage (SAW), Technique for Order Preference and Similarity to Ideal Solution (TOPSIS), Combinative Distance-based Assessment (CODAS), Complex Proportion Assessment Method (COPRAS), Evaluation based on Distance from Average Solution (EDAS), Grey Relational Analysis (GRA), Multi-objective Optimization on the Basis of Ratio Analysis Method (MOORA), VIseKriterijumska Optimizacija I Kompromisno.


Steps to reproduce

Run main.m file. Fiber Selection.xlsx file will be generated on execution.


National Institute of Technology Rourkela


Cellulose, Natural Fiber, Material Selection, Multiple-Criteria Decision Analysis, Pectin, Hemicellulose, Lignin