Opinion Visualization Demo

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The Opinion Triangle provides a geometric visualization of binomial opinions. The triangle and each of the bars provide different visualizations of the same opinion data.

The three bars immediately under the triangle are alternative visualizations of the three opinion points displayed in the triangle. The purpose of the coloured bars (or sliders) is to be able to quickly get an impression of the value of an opinion at a glance. This can be useful For rapid decision making. The text abouve each bar displays the the element of the two-dimensional fuzzy set to which the opinion corresponds.

The first bar is an Expectation Bar, where the overall length of the bar indicates the expectation of the opinion. The dark blue area represents the amount of the expectation that is accounted for by belief, while the light blue area indicates the amount of expectation accounted for by uncertainty.

The second bar is a Bayesian Bar, where the black line indicates the overall expectation and where the the size of the green area is proportional to the amount of positive belief in the truth of a particular statement. The size of the red area is proportional to the amount of negative belief in the truth of the statement. The size of the yellow/amber area is proportional to the amount of uncertainty about the truth of the statement.

The third and last bar is a Fuzzy Bar, where the overall length of the bar indicates the expectation, and and the text within the bar displays the element of the two-dimensional fuzzy set to which the opinion corresponds.

The beta pdf represents an interpretation of belief functions in classical statistical terms.

Left-click and drag the opinion point and the relative atomicity on the triangle, and see the result on the three-coloured rectangle. Left-click on the first two bars (or sliders) to change the opinion values.

The components of an opinion are described on the Subjective Logic Demo and in the draft book.

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Applet design by Simon Pope, David McAnally, Shane Hird and Robert Peime. Credit to Matt Roughan for the design of the PDF plotter.

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