Jute Fiber Gradation by Grey Fuzzy Logic Approach

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占有重要地位. 由于各种原因, 黄麻纤维的质量各不相同, 因此, 对黄麻纤维进行分类分级, 并在此基础上确定黄麻价格, 已成为当务之急. 传统上, 黄麻分级采用“手眼法”, 完全是主观的. 在现代BIS系统中, 黄麻纤维的强度, 疵点, 根数, 色泽, 细度, 容重等6个物理参数对黄麻纤维进行分级, 是一种较为科学的方法. 然而, 颜色和密度参数仍然是主观评估. 本文根据纤维强度, 根含量, 纤维疵点, 纤维颜色, 体积密度和纤维细度等6个合适的选择标准, 提出了一种基于灰色模糊逻辑的黄麻纤维样品分级方法. 模糊逻辑已与灰色关联分析 (GRA) 相结合, 以减少GRA固有的模糊性或不精确性. 该方法与现有的BIS系统和一位早期研究者采用的MAHP方法得到的排序模式非常吻合.

KEYWORDS:

• Fuzzy logic
• GRA
• Jute
• Gradation
• MAHP
• MCDM

关键词:

• 模糊逻辑
• 政府科学研究机构联合会
• 黄麻
• 级配