Quality yarn index using AHP and Fuzzy method

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Abstract

The yarn quality depends on many parameters: Characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities.

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BEN HASSEN, M. B., HALIMI, M. T., ABUALSAUOD, E., & OTHMAN, A. (2020). Quality yarn index using AHP and Fuzzy method. Industria Textila, 71(5), 487–491. https://doi.org/10.35530/IT.071.05.1699

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