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Discovering Consensus Preferences Visually Based on Gower Plots.

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Title: Discovering Consensus Preferences Visually Based on Gower Plots.
Authors: Ma, Li-Ching1 lcma@nuu.edu.tw
Source: International Journal of Information Technology & Decision Making. May2018, Vol. 17 Issue 3, p741-761. 21p.
Subjects: Statistical decision making, Data visualization, Visual aids, Decision making, Data mining
Abstract: Group-ranking problems are widely encountered decision problems which combine personal preferences to form an integrated group priority; however, providing support to solve group-ranking problems is difficult because each person has his/her own viewpoint regarding how such decisions should be made. In addition, many researchers have shown that visual aids are useful in helping users comprehend decision backgrounds. Therefore, determining how to support the group-ranking process and providing visual aids is an important issue. This study proposes a novel graphical approach to discover group consensus sequences. First, a counting-based data mining approach is constructed to discover a consensus preference matrix. Second, an ordinal Gower plot can be drawn whereby group consensus sequences can be directly observed. Unlike previous methods, the proposed approach can discover group consensus sequences without involving tedious candidate generation and exhaustive search processes, derive a total ranking list, as well as provide visual aids to users. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Information Technology & Decision Making is the property of World Scientific Publishing Company 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
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DbLabel: Engineering Source
An: 129769073
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Data: Discovering Consensus Preferences Visually Based on Gower Plots.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Li-Ching%22">Ma, Li-Ching</searchLink><relatesTo>1</relatesTo><i> lcma@nuu.edu.tw</i>
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  Data: Group-ranking problems are widely encountered decision problems which combine personal preferences to form an integrated group priority; however, providing support to solve group-ranking problems is difficult because each person has his/her own viewpoint regarding how such decisions should be made. In addition, many researchers have shown that visual aids are useful in helping users comprehend decision backgrounds. Therefore, determining how to support the group-ranking process and providing visual aids is an important issue. This study proposes a novel graphical approach to discover group consensus sequences. First, a counting-based data mining approach is constructed to discover a consensus preference matrix. Second, an ordinal Gower plot can be drawn whereby group consensus sequences can be directly observed. Unlike previous methods, the proposed approach can discover group consensus sequences without involving tedious candidate generation and exhaustive search processes, derive a total ranking list, as well as provide visual aids to users. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Information Technology & Decision Making is the property of World Scientific Publishing Company 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.)
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RecordInfo BibRecord:
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        Value: 10.1142/S0219622018500062
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      – Code: eng
        Text: English
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      – SubjectFull: Statistical decision making
        Type: general
      – SubjectFull: Data visualization
        Type: general
      – SubjectFull: Visual aids
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Data mining
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      – TitleFull: Discovering Consensus Preferences Visually Based on Gower Plots.
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              Text: May2018
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              Y: 2018
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            – TitleFull: International Journal of Information Technology & Decision Making
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