A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic.
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| Title: | A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic. |
|---|---|
| Authors: | Jeon, Jeonghwan1 (AUTHOR) jhjeon@gnu.ac.kr, Suvitha, Krishnan2 (AUTHOR) suvitha.mathematics@buc.edu.in, Arshad, Noreen Izza3 (AUTHOR) noreenizza@utp.edu.my, Kalaiselvan, Samayan4 (AUTHOR) kalaiselvan@rmv.ac.in, Narayanamoorthy, Samayan1,2 (AUTHOR) snmphd@buc.edu.in, Ferrara, Massimiliano5 (AUTHOR) massimiliano.ferrara@unibocconi.it, Ahmadian, Ali6,7 (AUTHOR) ahmadian.hosseini@unirc.it |
| Source: | Socio-Economic Planning Sciences. Oct2023, Vol. 89, pN.PAG-N.PAG. 1p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 172043743 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jeon%2C+Jeonghwan%22">Jeon, Jeonghwan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jhjeon@gnu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Suvitha%2C+Krishnan%22">Suvitha, Krishnan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> suvitha.mathematics@buc.edu.in</i><br /><searchLink fieldCode="AR" term="%22Arshad%2C+Noreen+Izza%22">Arshad, Noreen Izza</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> noreenizza@utp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Kalaiselvan%2C+Samayan%22">Kalaiselvan, Samayan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> kalaiselvan@rmv.ac.in</i><br /><searchLink fieldCode="AR" term="%22Narayanamoorthy%2C+Samayan%22">Narayanamoorthy, Samayan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> snmphd@buc.edu.in</i><br /><searchLink fieldCode="AR" term="%22Ferrara%2C+Massimiliano%22">Ferrara, Massimiliano</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> massimiliano.ferrara@unibocconi.it</i><br /><searchLink fieldCode="AR" term="%22Ahmadian%2C+Ali%22">Ahmadian, Ali</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> ahmadian.hosseini@unirc.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Socio-Economic+Planning+Sciences%22">Socio-Economic Planning Sciences</searchLink>. Oct2023, Vol. 89, pN.PAG-N.PAG. 1p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=172043743 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.seps.2023.101711 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jeon, Jeonghwan – PersonEntity: Name: NameFull: Suvitha, Krishnan – PersonEntity: Name: NameFull: Arshad, Noreen Izza – PersonEntity: Name: NameFull: Kalaiselvan, Samayan – PersonEntity: Name: NameFull: Narayanamoorthy, Samayan – PersonEntity: Name: NameFull: Ferrara, Massimiliano – PersonEntity: Name: NameFull: Ahmadian, Ali IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00380121 Numbering: – Type: volume Value: 89 Titles: – TitleFull: Socio-Economic Planning Sciences Type: main |
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