Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach

The comfortability of fabric is essential for improving its wearability, and several properties affect the comfort. Assessment and selection of the best cotton fabrics among these properties involving fuzziness and uncertainty are regarded as a multicriteria decision-making (MCDM) problem. This rese...
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Gespeichert in:

Autor*in:	Jing Ye [verfasserIn] Ting-Yu Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	cotton fabric multicriteria decision-making (mcdm) technique for order preference by similarity to ideal solution (topsis) pythagorean fuzzy set (pfs) distance measure comparative analysis

Übergeordnetes Werk:	In: Journal of Natural Fibers - Taylor & Francis Group, 2023, 19(2022), 14, Seite 9085-9100
Übergeordnetes Werk:	volume:19 ; year:2022 ; number:14 ; pages:9085-9100

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/15440478.2021.1982439

Katalog-ID:	DOAJ098241567

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allfieldsSound	10.1080/15440478.2021.1982439 doi (DE-627)DOAJ098241567 (DE-599)DOAJ4d6f5e02f0344cbcbcd42b1dd7e49cd0 DE-627 ger DE-627 rakwb eng TP890-933 Jing Ye verfasserin aut Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The comfortability of fabric is essential for improving its wearability, and several properties affect the comfort. Assessment and selection of the best cotton fabrics among these properties involving fuzziness and uncertainty are regarded as a multicriteria decision-making (MCDM) problem. This research proposed the technique for order preference by similarity to ideal solution (TOPSIS) approach under Pythagorean fuzzy sets (PFSs) context to select the best cotton fabric among these properties. The PFSs are used to handle uncertain information on cotton fabrics, and the TOPSIS approach is applied to choose the best cotton fabric. Since the distance measure is a critical factor of TOPSIS, a sensitivity analysis with different parameter settings for the distance measure is performed to investigate the ranking effects. A comparative analysis is conducted between the Hamming and Euclidean distance measurements and sine trigonometric Pythagorean fuzzy weighted average and geometric aggregation operators. The comparative results have significantly high correlation coefficients with other distance measures and aggregation operators. The novelties of the proposed approach are that it not only can offer objective evaluations but also can be easily calculated and obtain reliable and reasonable results, and it can be applied to other textile areas. cotton fabric multicriteria decision-making (mcdm) technique for order preference by similarity to ideal solution (topsis) pythagorean fuzzy set (pfs) distance measure comparative analysis Science Q Textile bleaching, dyeing, printing, etc. Ting-Yu Chen verfasserin aut In Journal of Natural Fibers Taylor & Francis Group, 2023 19(2022), 14, Seite 9085-9100 (DE-627)486723828 (DE-600)2187542-X 1544046X nnns volume:19 year:2022 number:14 pages:9085-9100 https://doi.org/10.1080/15440478.2021.1982439 kostenfrei https://doaj.org/article/4d6f5e02f0344cbcbcd42b1dd7e49cd0 kostenfrei http://dx.doi.org/10.1080/15440478.2021.1982439 kostenfrei https://doaj.org/toc/1544-0478 Journal toc kostenfrei https://doaj.org/toc/1544-046X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 19 2022 14 9085-9100
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callnumber-first	T - Technology
author	Jing Ye
spellingShingle	Jing Ye misc TP890-933 misc cotton fabric misc multicriteria decision-making (mcdm) misc technique for order preference by similarity to ideal solution (topsis) misc pythagorean fuzzy set (pfs) misc distance measure misc comparative analysis misc Science misc Q misc Textile bleaching, dyeing, printing, etc. Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach
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topic_title	TP890-933 Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach cotton fabric multicriteria decision-making (mcdm) technique for order preference by similarity to ideal solution (topsis) pythagorean fuzzy set (pfs) distance measure comparative analysis
topic	misc TP890-933 misc cotton fabric misc multicriteria decision-making (mcdm) misc technique for order preference by similarity to ideal solution (topsis) misc pythagorean fuzzy set (pfs) misc distance measure misc comparative analysis misc Science misc Q misc Textile bleaching, dyeing, printing, etc.
topic_unstemmed	misc TP890-933 misc cotton fabric misc multicriteria decision-making (mcdm) misc technique for order preference by similarity to ideal solution (topsis) misc pythagorean fuzzy set (pfs) misc distance measure misc comparative analysis misc Science misc Q misc Textile bleaching, dyeing, printing, etc.
topic_browse	misc TP890-933 misc cotton fabric misc multicriteria decision-making (mcdm) misc technique for order preference by similarity to ideal solution (topsis) misc pythagorean fuzzy set (pfs) misc distance measure misc comparative analysis misc Science misc Q misc Textile bleaching, dyeing, printing, etc.
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title	Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach
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title_full	Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach
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title_sort	selection of cotton fabrics using pythagorean fuzzy topsis approach
callnumber	TP890-933
title_auth	Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach
abstract	The comfortability of fabric is essential for improving its wearability, and several properties affect the comfort. Assessment and selection of the best cotton fabrics among these properties involving fuzziness and uncertainty are regarded as a multicriteria decision-making (MCDM) problem. This research proposed the technique for order preference by similarity to ideal solution (TOPSIS) approach under Pythagorean fuzzy sets (PFSs) context to select the best cotton fabric among these properties. The PFSs are used to handle uncertain information on cotton fabrics, and the TOPSIS approach is applied to choose the best cotton fabric. Since the distance measure is a critical factor of TOPSIS, a sensitivity analysis with different parameter settings for the distance measure is performed to investigate the ranking effects. A comparative analysis is conducted between the Hamming and Euclidean distance measurements and sine trigonometric Pythagorean fuzzy weighted average and geometric aggregation operators. The comparative results have significantly high correlation coefficients with other distance measures and aggregation operators. The novelties of the proposed approach are that it not only can offer objective evaluations but also can be easily calculated and obtain reliable and reasonable results, and it can be applied to other textile areas.
abstractGer	The comfortability of fabric is essential for improving its wearability, and several properties affect the comfort. Assessment and selection of the best cotton fabrics among these properties involving fuzziness and uncertainty are regarded as a multicriteria decision-making (MCDM) problem. This research proposed the technique for order preference by similarity to ideal solution (TOPSIS) approach under Pythagorean fuzzy sets (PFSs) context to select the best cotton fabric among these properties. The PFSs are used to handle uncertain information on cotton fabrics, and the TOPSIS approach is applied to choose the best cotton fabric. Since the distance measure is a critical factor of TOPSIS, a sensitivity analysis with different parameter settings for the distance measure is performed to investigate the ranking effects. A comparative analysis is conducted between the Hamming and Euclidean distance measurements and sine trigonometric Pythagorean fuzzy weighted average and geometric aggregation operators. The comparative results have significantly high correlation coefficients with other distance measures and aggregation operators. The novelties of the proposed approach are that it not only can offer objective evaluations but also can be easily calculated and obtain reliable and reasonable results, and it can be applied to other textile areas.
abstract_unstemmed	The comfortability of fabric is essential for improving its wearability, and several properties affect the comfort. Assessment and selection of the best cotton fabrics among these properties involving fuzziness and uncertainty are regarded as a multicriteria decision-making (MCDM) problem. This research proposed the technique for order preference by similarity to ideal solution (TOPSIS) approach under Pythagorean fuzzy sets (PFSs) context to select the best cotton fabric among these properties. The PFSs are used to handle uncertain information on cotton fabrics, and the TOPSIS approach is applied to choose the best cotton fabric. Since the distance measure is a critical factor of TOPSIS, a sensitivity analysis with different parameter settings for the distance measure is performed to investigate the ranking effects. A comparative analysis is conducted between the Hamming and Euclidean distance measurements and sine trigonometric Pythagorean fuzzy weighted average and geometric aggregation operators. The comparative results have significantly high correlation coefficients with other distance measures and aggregation operators. The novelties of the proposed approach are that it not only can offer objective evaluations but also can be easily calculated and obtain reliable and reasonable results, and it can be applied to other textile areas.
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title_short	Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach
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up_date	2024-07-03T16:13:12.295Z
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