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Using Treemaps to Visualize the Analytic Hierarchy Process
Author(s) -
Toshiyuki Asahi,
David Turo,
Ben Shneiderman
Publication year - 1995
Publication title -
information systems research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.507
H-Index - 159
eISSN - 1526-5536
pISSN - 1047-7047
DOI - 10.1287/isre.6.4.357
Subject(s) - analytic hierarchy process , computer science , usability , visualization , hierarchy , outcome (game theory) , process (computing) , representation (politics) , hierarchical database model , data visualization , component (thermodynamics) , data mining , human–computer interaction , operations research , mathematics , physics , thermodynamics , mathematical economics , politics , economics , political science , law , market economy , operating system

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.

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