View in EDS HTML Full Text PDF Full Text

An indirect preference-based approach to estimate missing information in unconventional emergency decision-making.

Saved in:
Bibliographic Details
Title: An indirect preference-based approach to estimate missing information in unconventional emergency decision-making.
Authors: Xia, Xuan1 (AUTHOR), Gong, Zaiwu1 (AUTHOR) zwgong26@163.com, Zhou, Kun1 (AUTHOR), Wei, Guo2 (AUTHOR)
Source: International Journal of General Systems. May2026, Vol. 55 Issue 4, p436-471. 36p.
Subjects: Integer programming, Emergency management, Regression analysis, Stated preference methods, Conflict management
Abstract: Time constraints and cognitive limits in unconventional emergencies hinder experts from offering complete preferences relations. By utilizing linear uncertain distributions to characterize the preferences of experts, a novel method for predicting missing values in linear uncertain preference relations is proposed. Current methods typically complete preference relations using direct preference information. However, the limited objective information lowers consistency and decision reliability. Therefore, it is crucial to mine additional subjective indirect preference information. In this paper, the ordinal regression model and the conflict elimination 0–1 integer programming model are constructed by integrating both subjective and objective information. The prediction results can reflect experts' implicit views. Besides, Conflicts arising from the roughness of indirect preference information are resolved, ensuring additive consistency and more accurate outcomes. To demonstrate the effectiveness of our proposed approach, a case study involving a flood event and a comparative analysis with previous methods are presented. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of General Systems is the property of Taylor & Francis Ltd 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 193364587
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An indirect preference-based approach to estimate missing information in unconventional emergency decision-making.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xia%2C+Xuan%22">Xia, Xuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gong%2C+Zaiwu%22">Gong, Zaiwu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zwgong26@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Kun%22">Zhou, Kun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Guo%22">Wei, Guo</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+General+Systems%22">International Journal of General Systems</searchLink>. May2026, Vol. 55 Issue 4, p436-471. 36p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Integer+programming%22">Integer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Emergency+management%22">Emergency management</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Stated+preference+methods%22">Stated preference methods</searchLink><br /><searchLink fieldCode="DE" term="%22Conflict+management%22">Conflict management</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Time constraints and cognitive limits in unconventional emergencies hinder experts from offering complete preferences relations. By utilizing linear uncertain distributions to characterize the preferences of experts, a novel method for predicting missing values in linear uncertain preference relations is proposed. Current methods typically complete preference relations using direct preference information. However, the limited objective information lowers consistency and decision reliability. Therefore, it is crucial to mine additional subjective indirect preference information. In this paper, the ordinal regression model and the conflict elimination 0–1 integer programming model are constructed by integrating both subjective and objective information. The prediction results can reflect experts' implicit views. Besides, Conflicts arising from the roughness of indirect preference information are resolved, ensuring additive consistency and more accurate outcomes. To demonstrate the effectiveness of our proposed approach, a case study involving a flood event and a comparative analysis with previous methods are presented. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of General Systems is the property of Taylor & Francis Ltd 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=193364587
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/03081079.2025.2481903
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 36
        StartPage: 436
    Subjects:
      – SubjectFull: Integer programming
        Type: general
      – SubjectFull: Emergency management
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Stated preference methods
        Type: general
      – SubjectFull: Conflict management
        Type: general
    Titles:
      – TitleFull: An indirect preference-based approach to estimate missing information in unconventional emergency decision-making.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xia, Xuan
      – PersonEntity:
          Name:
            NameFull: Gong, Zaiwu
      – PersonEntity:
          Name:
            NameFull: Zhou, Kun
      – PersonEntity:
          Name:
            NameFull: Wei, Guo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 03081079
          Numbering:
            – Type: volume
              Value: 55
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of General Systems
              Type: main
ResultId 1