View in EDS

Hesitant distance set on hesitant fuzzy sets and its application in urban road traffic state identification.

Saved in:
Bibliographic Details
Title: Hesitant distance set on hesitant fuzzy sets and its application in urban road traffic state identification.
Authors: Zhang, Fangwei1 fangweizhang@aliyun.com, Li, Jianbo2 ljianb66@gmail.com, Chen, Jihong1 jhchen@shmtu.edu.cn, Sun, Jing2, Attey, Augustine1
Source: Engineering Applications of Artificial Intelligence. May2017, Vol. 61, p57-64. 8p.
Subjects: Traffic engineering software, Fuzzy sets, Application software, Comparative studies, Algebra software
Abstract: Since fuzziness lacks the distinction between a set and its complement, it is difficult to measure the distance between different hesitant fuzzy sets (HFSs) by a single value. In this study, a new concept “hesitant distance set (HDS)” is proposed, where the distance between different HFSs can be characterized by a series of different values. This study has three primary contributions. Firstly, most of the existing distance measures on HFSs are based on vector operation, while the novel proposed HDSs are based on set operation. Secondly, a statistical method is proposed to compare different HDSs, and some important properties of the comparison method are introduced. Thirdly, the characteristics of the novel HDSs and the classical hesitant distances are studied comparatively. Finally, the practicality and validity of the HDSs on HFSs are illustrated through an urban road traffic state identification example. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science 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: 122371901
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Hesitant distance set on hesitant fuzzy sets and its application in urban road traffic state identification.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Fangwei%22">Zhang, Fangwei</searchLink><relatesTo>1</relatesTo><i> fangweizhang@aliyun.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Jianbo%22">Li, Jianbo</searchLink><relatesTo>2</relatesTo><i> ljianb66@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jihong%22">Chen, Jihong</searchLink><relatesTo>1</relatesTo><i> jhchen@shmtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Jing%22">Sun, Jing</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Attey%2C+Augustine%22">Attey, Augustine</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>. May2017, Vol. 61, p57-64. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Traffic+engineering+software%22">Traffic engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Algebra+software%22">Algebra software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Since fuzziness lacks the distinction between a set and its complement, it is difficult to measure the distance between different hesitant fuzzy sets (HFSs) by a single value. In this study, a new concept “hesitant distance set (HDS)” is proposed, where the distance between different HFSs can be characterized by a series of different values. This study has three primary contributions. Firstly, most of the existing distance measures on HFSs are based on vector operation, while the novel proposed HDSs are based on set operation. Secondly, a statistical method is proposed to compare different HDSs, and some important properties of the comparison method are introduced. Thirdly, the characteristics of the novel HDSs and the classical hesitant distances are studied comparatively. Finally, the practicality and validity of the HDSs on HFSs are illustrated through an urban road traffic state identification example. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science 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=122371901
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2017.02.004
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 57
    Subjects:
      – SubjectFull: Traffic engineering software
        Type: general
      – SubjectFull: Fuzzy sets
        Type: general
      – SubjectFull: Application software
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Algebra software
        Type: general
    Titles:
      – TitleFull: Hesitant distance set on hesitant fuzzy sets and its application in urban road traffic state identification.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Fangwei
      – PersonEntity:
          Name:
            NameFull: Li, Jianbo
      – PersonEntity:
          Name:
            NameFull: Chen, Jihong
      – PersonEntity:
          Name:
            NameFull: Sun, Jing
      – PersonEntity:
          Name:
            NameFull: Attey, Augustine
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 09521976
          Numbering:
            – Type: volume
              Value: 61
          Titles:
            – TitleFull: Engineering Applications of Artificial Intelligence
              Type: main
ResultId 1