Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set

Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argum...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Muhammad Saeed [verfasserIn] Atiqe Ur Rahman [verfasserIn] Ume-e-Farwa [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set

Übergeordnetes Werk:	In: Neutrosophic Sets and Systems - University of New Mexico, 2016, 47(2021), Seite 472-490
Übergeordnetes Werk:	volume:47 ; year:2021 ; pages:472-490

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

DOI / URN:	10.5281/zenodo.5775168

Katalog-ID:	DOAJ027940764

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allfields	10.5281/zenodo.5775168 doi (DE-627)DOAJ027940764 (DE-599)DOAJ145a4f67dea248db8d0ae957b29a0ff1 DE-627 ger DE-627 rakwb eng QA1-939 QA75.5-76.95 Muhammad Saeed verfasserin aut Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators. fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science Atiqe Ur Rahman verfasserin aut Ume-e-Farwa verfasserin aut In Neutrosophic Sets and Systems University of New Mexico, 2016 47(2021), Seite 472-490 (DE-627)1760646911 2331608X nnns volume:47 year:2021 pages:472-490 https://doi.org/10.5281/zenodo.5775168 kostenfrei https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 kostenfrei http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf kostenfrei https://doaj.org/toc/2331-6055 Journal toc kostenfrei https://doaj.org/toc/2331-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 47 2021 472-490
spelling	10.5281/zenodo.5775168 doi (DE-627)DOAJ027940764 (DE-599)DOAJ145a4f67dea248db8d0ae957b29a0ff1 DE-627 ger DE-627 rakwb eng QA1-939 QA75.5-76.95 Muhammad Saeed verfasserin aut Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators. fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science Atiqe Ur Rahman verfasserin aut Ume-e-Farwa verfasserin aut In Neutrosophic Sets and Systems University of New Mexico, 2016 47(2021), Seite 472-490 (DE-627)1760646911 2331608X nnns volume:47 year:2021 pages:472-490 https://doi.org/10.5281/zenodo.5775168 kostenfrei https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 kostenfrei http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf kostenfrei https://doaj.org/toc/2331-6055 Journal toc kostenfrei https://doaj.org/toc/2331-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 47 2021 472-490
allfields_unstemmed	10.5281/zenodo.5775168 doi (DE-627)DOAJ027940764 (DE-599)DOAJ145a4f67dea248db8d0ae957b29a0ff1 DE-627 ger DE-627 rakwb eng QA1-939 QA75.5-76.95 Muhammad Saeed verfasserin aut Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators. fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science Atiqe Ur Rahman verfasserin aut Ume-e-Farwa verfasserin aut In Neutrosophic Sets and Systems University of New Mexico, 2016 47(2021), Seite 472-490 (DE-627)1760646911 2331608X nnns volume:47 year:2021 pages:472-490 https://doi.org/10.5281/zenodo.5775168 kostenfrei https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 kostenfrei http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf kostenfrei https://doaj.org/toc/2331-6055 Journal toc kostenfrei https://doaj.org/toc/2331-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 47 2021 472-490
allfieldsGer	10.5281/zenodo.5775168 doi (DE-627)DOAJ027940764 (DE-599)DOAJ145a4f67dea248db8d0ae957b29a0ff1 DE-627 ger DE-627 rakwb eng QA1-939 QA75.5-76.95 Muhammad Saeed verfasserin aut Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators. fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science Atiqe Ur Rahman verfasserin aut Ume-e-Farwa verfasserin aut In Neutrosophic Sets and Systems University of New Mexico, 2016 47(2021), Seite 472-490 (DE-627)1760646911 2331608X nnns volume:47 year:2021 pages:472-490 https://doi.org/10.5281/zenodo.5775168 kostenfrei https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 kostenfrei http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf kostenfrei https://doaj.org/toc/2331-6055 Journal toc kostenfrei https://doaj.org/toc/2331-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 47 2021 472-490
allfieldsSound	10.5281/zenodo.5775168 doi (DE-627)DOAJ027940764 (DE-599)DOAJ145a4f67dea248db8d0ae957b29a0ff1 DE-627 ger DE-627 rakwb eng QA1-939 QA75.5-76.95 Muhammad Saeed verfasserin aut Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators. fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science Atiqe Ur Rahman verfasserin aut Ume-e-Farwa verfasserin aut In Neutrosophic Sets and Systems University of New Mexico, 2016 47(2021), Seite 472-490 (DE-627)1760646911 2331608X nnns volume:47 year:2021 pages:472-490 https://doi.org/10.5281/zenodo.5775168 kostenfrei https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 kostenfrei http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf kostenfrei https://doaj.org/toc/2331-6055 Journal toc kostenfrei https://doaj.org/toc/2331-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 47 2021 472-490
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topic_facet	fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set Mathematics Electronic computers. Computer science
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callnumber-first	Q - Science
author	Muhammad Saeed
spellingShingle	Muhammad Saeed misc QA1-939 misc QA75.5-76.95 misc fuzzy set misc neutrosophic set misc single-valued neutrosophic set misc single-valued neutrosophic soft set misc single-valued neutrosophic fuzzy soft set misc hypersoft set misc Mathematics misc Electronic computers. Computer science Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set
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topic_title	QA1-939 QA75.5-76.95 Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set fuzzy set neutrosophic set single-valued neutrosophic set single-valued neutrosophic soft set single-valued neutrosophic fuzzy soft set hypersoft set
topic	misc QA1-939 misc QA75.5-76.95 misc fuzzy set misc neutrosophic set misc single-valued neutrosophic set misc single-valued neutrosophic soft set misc single-valued neutrosophic fuzzy soft set misc hypersoft set misc Mathematics misc Electronic computers. Computer science
topic_unstemmed	misc QA1-939 misc QA75.5-76.95 misc fuzzy set misc neutrosophic set misc single-valued neutrosophic set misc single-valued neutrosophic soft set misc single-valued neutrosophic fuzzy soft set misc hypersoft set misc Mathematics misc Electronic computers. Computer science
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title	Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set
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title_full	Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set
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title_sort	optimal supplier selection via decision-making algorithmic technique based on single-valued neutrosophic fuzzy hypersoft set
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title_auth	Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set
abstract	Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators.
abstractGer	Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators.
abstract_unstemmed	Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets. It replaces single-argument approximate function of soft set with multi-argument approximate function. The main goal of this research is to align existing literature on single-valued neutrosophic fuzzy soft sets with the need for such a multi-argument function. Firstly, the novel notions of single-valued neutrosophic fuzzy hypersoft sets are characterized. Some of its essential basic properties and set theoretic operations are discussed with illustrated numerical examples. Secondly, fuzzy decision-making algorithm based on single-valued neutrosophic fuzzy hypersoft set matrix is proposed. Explicatory application is presented which depicts the structural validity of proposed structure for successful application to the problems involving vagueness and uncertainties. Lastly, a comparison of the proposed structure with existing structures, is made under appropriate indicators.
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title_short	Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set
url	https://doi.org/10.5281/zenodo.5775168 https://doaj.org/article/145a4f67dea248db8d0ae957b29a0ff1 http://fs.unm.edu/NSS/AlgorithmicNeutrosophicFuzzyHypersoft30.pdf https://doaj.org/toc/2331-6055 https://doaj.org/toc/2331-608X
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up_date	2024-07-03T14:52:08.154Z
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