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Neutrosophic Hypersoft Matrices With Application To Solve Multiattributive Decision-Making Problems

dc.contributor.author Ali, Rifaqat
dc.contributor.author Jarad, Fahd
dc.contributor.author Samad, Abdul
dc.contributor.author Abdeljawad, Thabet
dc.contributor.author Zulqarnain, Rana Muhammad
dc.contributor.author Siddique, Imran
dc.contributor.authorID 234808 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2022-06-28T11:12:34Z
dc.date.accessioned 2025-09-18T16:07:53Z
dc.date.available 2022-06-28T11:12:34Z
dc.date.available 2025-09-18T16:07:53Z
dc.date.issued 2021
dc.description Zulqarnain, Rana Muhammad/0000-0002-2656-8679; Samad, Abdul/0000-0002-0887-9860; Abdeljawad, Thabet/0000-0002-8889-3768 en_US
dc.description.abstract The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with the subattributes of the parameters and is a proper extension of the neutrosophic soft set to accurately assess the deficiencies, anxiety, and uncertainty in decision-making. Compared with existing research, NHSS can accommodate more uncertainty, which is the most significant technique for describing fuzzy information in the decision-making process. The main objective of the follow-up study is to develop the theory of neutrosophic hypersoft matrix (NHSM). The NHSM is the generalized form of a neutrosophic soft matrix (NSM). Some fundamental operations and score function for NHSMs have been introduced with their desirable properties. Furthermore, we introduce the logical operators such as OR-operator and AND-operator with their fundamental properties in the following research. The necessity and possibility operations for NHSMs have been established. Utilizing the developed score function, a decision-making methodology has been developed to solve the multiattribute decision-making (MADM) problem. To ensure the validity of the proposed approach, a numerical illustration has been described for the selection of competent faculty member. The practicality and effectiveness of the current approach are proved through comparative analysis with the assistance of some existing studies. en_US
dc.description.sponsorship King Khalid University, Saudi Arabia [R.G.P. 1/162/42] en_US
dc.description.sponsorship The author Rifaqat Ali would like to express his gratitude to Deanship of Scientific Research at King Khalid University, Saudi Arabia, for funding research groups under the research grant number R.G.P. 1/162/42. en_US
dc.identifier.citation Zulqarnain, Rana Muhammad...et al. (2021). "Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems", Complexity, Vol. 2021. en_US
dc.identifier.doi 10.1155/2021/5589874
dc.identifier.issn 1076-2787
dc.identifier.issn 1099-0526
dc.identifier.scopus 2-s2.0-85108656851
dc.identifier.uri https://doi.org/10.1155/2021/5589874
dc.identifier.uri https://hdl.handle.net/20.500.12416/14889
dc.language.iso en en_US
dc.publisher Wiley-hindawi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.title Neutrosophic Hypersoft Matrices With Application To Solve Multiattributive Decision-Making Problems en_US
dc.title Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Zulqarnain, Rana Muhammad/0000-0002-2656-8679
gdc.author.id Samad, Abdul/0000-0002-0887-9860
gdc.author.id Abdeljawad, Thabet/0000-0002-8889-3768
gdc.author.institutional Jarad, Fahd
gdc.author.institutional Abdeljawad, Thabet
gdc.author.scopusid 57221294066
gdc.author.scopusid 24436604100
gdc.author.scopusid 57218606732
gdc.author.scopusid 15622742900
gdc.author.scopusid 57218940012
gdc.author.scopusid 6508051762
gdc.author.wosid Samad, Abdul/Isb-6584-2023
gdc.author.wosid Zulqarnain, Dr. Rana/Aac-4876-2021
gdc.author.wosid Siddique, Imran/Acg-3403-2022
gdc.author.wosid Ali, Rifaqat/Agt-8276-2022
gdc.author.wosid Jarad, Fahd/T-8333-2018
gdc.author.wosid Abdeljawad, Thabet/T-8298-2018
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Zulqarnain, Rana Muhammad] Univ Management & Technol, Dept Math, Sialkot Campus, Lahore, Pakistan; [Siddique, Imran] Univ Management & Technol, Dept Math, Lahore 54770, Pakistan; [Ali, Rifaqat] King Khalid Univ, Dept Math, Coll Arts & Sci, Abha 61413, Saudi Arabia; [Jarad, Fahd] Cankaya Univ, Dept Math, Ankara, Turkey; [Jarad, Fahd] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan; [Samad, Abdul] Northwest Univ, Sch Math, Xian 710127, Peoples R China; [Abdeljawad, Thabet] Prince Sultan Univ, Dept Math & Gen Sci, Riyadh, Saudi Arabia; [Abdeljawad, Thabet] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 2021 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W3170480195
gdc.identifier.wos WOS:000664879000010
gdc.openalex.fwci 3.32182616
gdc.openalex.normalizedpercentile 0.92
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 14
gdc.plumx.crossrefcites 13
gdc.plumx.mendeley 8
gdc.plumx.scopuscites 28
gdc.scopus.citedcount 28
gdc.wos.citedcount 14
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