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Using Treemaps to Visualize the Analytic Hierarchy Process

Author

Listed:
  • Toshiyuki Asahi

    (Human-Computer Interaction Laboratory, University of Maryland, College Park, Maryland 20740)

  • David Turo

    (Human-Computer Interaction Laboratory and Department of Computer Science, University of Maryland, College Park, Maryland 20740)

  • Ben Shneiderman

    (Department of Computer Science, Human-Computer Interaction Laboratory and Institute for Systems Research, AV Williams Building, University of Maryland, College Park, Maryland 20740)

Abstract

Treemaps, a visualization method for large hierarchical data spaces, are used to augment the capabilities of the Analytic Hierarchy Process (AHP) for decision-making. Two direct manipulation tools, presented metaphorically as a “pump” and a “hook,” were developed and applied to the treemap to support AHP sensitivity analysis. Users can change the importance of criteria dynamically on the two-dimensional treemap and immediately see the impact on the outcome of the decision. This fluid process dramatically speeds up exploration and provides a better understanding of the relative impact of the component criteria. A usability study with six subjects using a prototype AHP application showed that treemap representation was acceptable from a visualization and data operation standpoint.

Suggested Citation

  • Toshiyuki Asahi & David Turo & Ben Shneiderman, 1995. "Using Treemaps to Visualize the Analytic Hierarchy Process," Information Systems Research, INFORMS, vol. 6(4), pages 357-375, December.
    • Handle: RePEc:inm:orisre:v:6:y:1995:i:4:p:357-375
    DOI: 10.1287/isre.6.4.357
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    Cited by:

    1. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    2. Heng-Li Yang & Shiang-Lin Lin, 2017. "The evaluation factors of adopting SoLoMo services: the hybrid fuzzy MCDM approach," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 601-629, September.
    3. Lee, Sang-Gun & Chae, Seung Hoon & Cho, Kyung Min, 2013. "Drivers and inhibitors of SaaS adoption in Korea," International Journal of Information Management, Elsevier, vol. 33(3), pages 429-440.
    4. Lu An & Xia Lin & Chuanming Yu & Xinwen Zhang, 2015. "Measuring and visualizing the contributions of Chinese and American LIS research institutions to emerging themes and salient themes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1605-1634, December.

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