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RANKING DECISION ALTERNATIVES BY INTEGRATED DEA, AHP AND GOWER PLOT TECHNIQUES.

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Title: RANKING DECISION ALTERNATIVES BY INTEGRATED DEA, AHP AND GOWER PLOT TECHNIQUES.
Authors: LI, HAN-LIN1 hlli@cc.nctu.edu.tw, MA, LI-CHING2 lcma@nuu.edu.tw
Source: International Journal of Information Technology & Decision Making. Jun2008, Vol. 7 Issue 2, p241-258. 18p. 11 Charts, 6 Graphs.
Subjects: Data envelopment analysis, Decision making, Mathematical models, Multivariate analysis, Information technology
Abstract: Data Envelop Analysis (DEA) and Analytic Hierarchy Process (AHP) are widely used methods in ranking decision alternatives. However, current DEA models are difficult to discriminate decision-making units through articulating the decision makers' preferences. While AHP and Gower plot models have to specify complete pairwise preferences without providing assisting information. This study develops an iterative method of ranking decision alternatives by integrating DEA, AHP and Gower plot techniques. The developed method first utilizes a modified DEA model to narrow the ranges of a decision maker's preferences. Then, the tentative ranks of the decision alternatives, computed by embedding the decision maker's preferences, are depicted via Gower plots to illustrate the cardinal and ordinal inconsistencies of these preferences. The decision maker then adjusts the preferences iteratively until the inconsistencies are within the tolerance. [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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  Data: RANKING DECISION ALTERNATIVES BY INTEGRATED DEA, AHP AND GOWER PLOT TECHNIQUES.
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  Data: <searchLink fieldCode="AR" term="%22LI%2C+HAN-LIN%22">LI, HAN-LIN</searchLink><relatesTo>1</relatesTo><i> hlli@cc.nctu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22MA%2C+LI-CHING%22">MA, LI-CHING</searchLink><relatesTo>2</relatesTo><i> lcma@nuu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Information+Technology+%26+Decision+Making%22">International Journal of Information Technology & Decision Making</searchLink>. Jun2008, Vol. 7 Issue 2, p241-258. 18p. 11 Charts, 6 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Data+envelopment+analysis%22">Data envelopment analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Data Envelop Analysis (DEA) and Analytic Hierarchy Process (AHP) are widely used methods in ranking decision alternatives. However, current DEA models are difficult to discriminate decision-making units through articulating the decision makers' preferences. While AHP and Gower plot models have to specify complete pairwise preferences without providing assisting information. This study develops an iterative method of ranking decision alternatives by integrating DEA, AHP and Gower plot techniques. The developed method first utilizes a modified DEA model to narrow the ranges of a decision maker's preferences. Then, the tentative ranks of the decision alternatives, computed by embedding the decision maker's preferences, are depicted via Gower plots to illustrate the cardinal and ordinal inconsistencies of these preferences. The decision maker then adjusts the preferences iteratively until the inconsistencies are within the tolerance. [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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        Value: 10.1142/S0219622008002922
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      – Code: eng
        Text: English
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        PageCount: 18
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      – SubjectFull: Data envelopment analysis
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Information technology
        Type: general
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      – TitleFull: RANKING DECISION ALTERNATIVES BY INTEGRATED DEA, AHP AND GOWER PLOT TECHNIQUES.
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              Text: Jun2008
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              Y: 2008
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