Jute Fiber Gradation by Grey Fuzzy Logic Approach

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 & E...

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Main Author: Ashis Mitra
Format: Article
Language:English
Published: Taylor & Francis Group 2022-07-01
Series:Journal of Natural Fibers
Subjects:
Online Access:http://dx.doi.org/10.1080/15440478.2020.1818351
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author Ashis Mitra
author_facet Ashis Mitra
author_sort Ashis Mitra
collection DOAJ
description 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.
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spelling doaj.art-c634d82382a844489316a41e006f42f22023-09-20T12:50:20ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2022-07-011972468247810.1080/15440478.2020.18183511818351Jute Fiber Gradation by Grey Fuzzy Logic ApproachAshis Mitra0Visva-Bharati University SriniketanJute 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.http://dx.doi.org/10.1080/15440478.2020.1818351fuzzy logicgrajutegradationmahpmcdm
spellingShingle Ashis Mitra
Jute Fiber Gradation by Grey Fuzzy Logic Approach
Journal of Natural Fibers
fuzzy logic
gra
jute
gradation
mahp
mcdm
title Jute Fiber Gradation by Grey Fuzzy Logic Approach
title_full Jute Fiber Gradation by Grey Fuzzy Logic Approach
title_fullStr Jute Fiber Gradation by Grey Fuzzy Logic Approach
title_full_unstemmed Jute Fiber Gradation by Grey Fuzzy Logic Approach
title_short Jute Fiber Gradation by Grey Fuzzy Logic Approach
title_sort jute fiber gradation by grey fuzzy logic approach
topic fuzzy logic
gra
jute
gradation
mahp
mcdm
url http://dx.doi.org/10.1080/15440478.2020.1818351
work_keys_str_mv AT ashismitra jutefibergradationbygreyfuzzylogicapproach