ABSTRACT

Jute fiber has a great role in Indian economy. Since, jute fiber quality varies one place to another owing to various reasons, it becomes imperative to go for classification and gradation of jute fibers on the basis of which jute pricing is fixed. Traditionally, jute grading is done by ‘Hand & Eye’ method which is totally subjective. In modern BIS system, a more scientific approach is practised for grading the jute fibers based on six physical fiber parameters like strength, defect, root content, color, fineness, and bulk density. However, color and density parameters are still assessed subjectively. In this paper, a grey fuzzy logic-based MCDM approach has been proposed for ranking/gradation of nine jute fiber samples based on six apposite selection criteria like fiber strength, root content, fiber defects, fiber color, bulk density and fiber fineness. Fuzzy logic has been integrated with grey relational analysis (GRA) to minimize vagueness or imprecision inherent in GRA. The proposed approach closely matches with the ranking patterns attained by the existing BIS system and that by MAHP approach done by an earlier researcher.

摘要

黄麻纤维在印度经济中发挥着重要作用。由于各种原因，黄麻纤维质量因地而异，因此必须在确定黄麻价格的基础上对黄麻纤维进行分类和分级。传统上，黄麻分级是通过完全主观的“手眼”方法完成的。在现代 BIS 系统中，根据强度、缺陷、根含量、颜色、细度和容重等六个物理纤维参数，采用更科学的方法对黄麻纤维进行分级。然而，颜色和密度参数仍然是主观评估的。本文提出了一种基于灰色模糊逻辑的 MCDM 方法，基于纤维强度、根含量、纤维缺陷、纤维颜色、容重和纤维细度。模糊逻辑已与灰色关系分析 (GRA) 集成，以最大限度地减少 GRA 固有的模糊性或不精确性。所提出的方法与现有 BIS 系统获得的排名模式以及早期研究人员通过 MAHP 方法获得的排名模式非常匹配。