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

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.

本研究开发了一种基于MATLAB的新型天然植物纤维筛选技术，该技术以纤维的化学成分为基础，结合纤维性能与其化学成分之间的关联，并采用多种多准则决策（Multi-Criteria Decision Making，MCDM）方法。本数据集涵盖本研究中涉及的所有天然纤维的各项性能与化学成分数据。本研究采用的多准则决策方法包括：简单加权法（Simple Additive Weightage，SAW）、理想解相似性排序技术（Technique for Order Preference and Similarity to Ideal Solution，TOPSIS）、组合距离评估法（Combinative Distance-based Assessment，CODAS）、复比例评估法（Complex Proportion Assessment Method，COPRAS）、基于平均解距离的评估法（Evaluation based on Distance from Average Solution，EDAS）、灰色关联分析（Grey Relational Analysis，GRA）、基于比率分析的多目标优化法（Multi-objective Optimization on the Basis of Ratio Analysis Method，MOORA）以及多准则优化与妥协解法（VIseKriterijumska Optimizacija I Kompromisno）。