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A Graphical Screening Approach for Group Decisions Based on the Extended Case-Based Distance Method.

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Title: A Graphical Screening Approach for Group Decisions Based on the Extended Case-Based Distance Method.
Authors: Ma, Li-Ching1, Hsu, Pei-Pei2
Source: International Journal of Information Technology & Decision Making. 2014, Vol. 13 Issue 6, p1161-1181. 21p.
Subjects: Multiple criteria decision making, Decision making, Choice (Psychology), Discrete choice models, Statistics
Abstract: For multiple criteria decision problems, screening is a helpful process for reducing a larger set of alternatives to a smaller one containing the best alternatives so that decision makers (DMs) can concentrate on evaluating alternatives within a smaller set. This study proposes a graphical approach based on the extended case-based distance method to assist individual as well as group DMs in screening and observing the case distances between alternatives and selected cases. Benchmark cases can thus be examined. The screening results of all DMs and the collective group decisions can be simultaneously observed on the same plane. An individual DM can also examine his/her own screening results and those of the group to identify the differences between individual judgments and the group's collective opinions. An interactive screening procedure for group decisions is represented to provide flexibility so that DMs can check and adjust their preferences iteratively. [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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PubType: Academic Journal
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  Data: For multiple criteria decision problems, screening is a helpful process for reducing a larger set of alternatives to a smaller one containing the best alternatives so that decision makers (DMs) can concentrate on evaluating alternatives within a smaller set. This study proposes a graphical approach based on the extended case-based distance method to assist individual as well as group DMs in screening and observing the case distances between alternatives and selected cases. Benchmark cases can thus be examined. The screening results of all DMs and the collective group decisions can be simultaneously observed on the same plane. An individual DM can also examine his/her own screening results and those of the group to identify the differences between individual judgments and the group's collective opinions. An interactive screening procedure for group decisions is represented to provide flexibility so that DMs can check and adjust their preferences iteratively. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1142/S0219622014500771
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      – Code: eng
        Text: English
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        PageCount: 21
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      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Choice (Psychology)
        Type: general
      – SubjectFull: Discrete choice models
        Type: general
      – SubjectFull: Statistics
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            NameFull: Ma, Li-Ching
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              Text: 2014
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