View in EDS

Double-hierarchy hesitant fuzzy linguistic term set-based decision framework for multi-attribute group decision-making.

Saved in:
Bibliographic Details
Title: Double-hierarchy hesitant fuzzy linguistic term set-based decision framework for multi-attribute group decision-making.
Authors: Krishankumar, R.1 (AUTHOR), Ravichandran, K. S.1 (AUTHOR) raviks@sastra.edu, Kar, Samarjit2 (AUTHOR), Gupta, Pankaj3 (AUTHOR), Mehlawat, Mukesh Kumar3 (AUTHOR)
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2021, Vol. 25 Issue 4, p2665-2685. 21p.
Subjects: Group decision making, Decision theory, Aggregation operators, Renewable energy sources, Mathematical programming, Fuzzy sets, Rough sets
Abstract: With massive growth in decision-making theory, representation of preference information plays an indispensable role. To rationally handle uncertainty, scholars presented different ideas of which hesitant fuzzy linguistic term set (HFLTS) is a good choice to represent hesitancy in decision makers' (DMs) preferences. The challenge with HFLTS is that it cannot be used for representing complex linguistic terms. To better circumvent this challenge, double-hierarchy HFLTS (DHHFLTS) is presented. Motivated by the power of DHHFLTS in expressing complex linguistic terms by using two linguistic hierarchies, a decision framework is proposed under the DHHFLTS context. Initially, the framework presents a new aggregation operator called simple double-hierarchy frequency match aggregation operator for sensible aggregation of DMs' preference information. Later, the mathematical programming model is extended under the DHHLTS context for rational estimation of attribute weight with partially known information. Also, the popular Vise Kriterijumska Optimizacija Kompromisno Resenje ranking method is extended under the DHHFLTS context for the selection of a suitable object from the set of objects. Finally, the proposed decision framework is validated for its practicality by demonstrating two numerical examples viz., green supplier selection problem and renewable energy source selection problem. Also, the strengths and weaknesses of the proposed framework are realized by comparison with other methods. [ABSTRACT FROM AUTHOR]
Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 148754245
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Double-hierarchy hesitant fuzzy linguistic term set-based decision framework for multi-attribute group decision-making.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Krishankumar%2C+R%2E%22">Krishankumar, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ravichandran%2C+K%2E+S%2E%22">Ravichandran, K. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> raviks@sastra.edu</i><br /><searchLink fieldCode="AR" term="%22Kar%2C+Samarjit%22">Kar, Samarjit</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Pankaj%22">Gupta, Pankaj</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mehlawat%2C+Mukesh+Kumar%22">Mehlawat, Mukesh Kumar</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Soft+Computing+-+A+Fusion+of+Foundations%2C+Methodologies+%26+Applications%22">Soft Computing - A Fusion of Foundations, Methodologies & Applications</searchLink>. Feb2021, Vol. 25 Issue 4, p2665-2685. 21p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Group+decision+making%22">Group decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+theory%22">Decision theory</searchLink><br /><searchLink fieldCode="DE" term="%22Aggregation+operators%22">Aggregation operators</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Rough+sets%22">Rough sets</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With massive growth in decision-making theory, representation of preference information plays an indispensable role. To rationally handle uncertainty, scholars presented different ideas of which hesitant fuzzy linguistic term set (HFLTS) is a good choice to represent hesitancy in decision makers' (DMs) preferences. The challenge with HFLTS is that it cannot be used for representing complex linguistic terms. To better circumvent this challenge, double-hierarchy HFLTS (DHHFLTS) is presented. Motivated by the power of DHHFLTS in expressing complex linguistic terms by using two linguistic hierarchies, a decision framework is proposed under the DHHFLTS context. Initially, the framework presents a new aggregation operator called simple double-hierarchy frequency match aggregation operator for sensible aggregation of DMs' preference information. Later, the mathematical programming model is extended under the DHHLTS context for rational estimation of attribute weight with partially known information. Also, the popular Vise Kriterijumska Optimizacija Kompromisno Resenje ranking method is extended under the DHHFLTS context for the selection of a suitable object from the set of objects. Finally, the proposed decision framework is validated for its practicality by demonstrating two numerical examples viz., green supplier selection problem and renewable energy source selection problem. Also, the strengths and weaknesses of the proposed framework are realized by comparison with other methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=148754245
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00500-020-05328-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 2665
    Subjects:
      – SubjectFull: Group decision making
        Type: general
      – SubjectFull: Decision theory
        Type: general
      – SubjectFull: Aggregation operators
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Mathematical programming
        Type: general
      – SubjectFull: Fuzzy sets
        Type: general
      – SubjectFull: Rough sets
        Type: general
    Titles:
      – TitleFull: Double-hierarchy hesitant fuzzy linguistic term set-based decision framework for multi-attribute group decision-making.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Krishankumar, R.
      – PersonEntity:
          Name:
            NameFull: Ravichandran, K. S.
      – PersonEntity:
          Name:
            NameFull: Kar, Samarjit
      – PersonEntity:
          Name:
            NameFull: Gupta, Pankaj
      – PersonEntity:
          Name:
            NameFull: Mehlawat, Mukesh Kumar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 02
              Text: Feb2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 14327643
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications
              Type: main
ResultId 1