A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic.

Saved in:
Bibliographic Details
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
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 172043743
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1