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The Mixed screen can display the five sensitivities, namely Dynamic Analysis , Performance Analysis , Gradient , 2D plot , and Head to Head , as well as the Alternative/Objectives Grid in one view. By default, four sensitivities are displayed...
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Last Updated: 10/28/2021
in Tips and Tricks Basic Mode - A revised, simplified user interface. Advanced Mode - Advanced mode shows advanced option(s) on each screen. This allows advanced users to go deeper into the application. The left navigation is only displayed when this option is ...
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Last Updated: 10/28/2021
in Additional Information Two types of means and two types of variances are used in Expert Choice Comparion: An Arithmetic Mean is the average interval -- and is the mean or average used in common practice. It is computed as the sum of the values divided by the number o...
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Last Updated: 10/28/2021
in Additional Information Prioritization and decision making is often performed in a group context. There are two ways to aggregate individuals' judgments and preferences with AHP, depending on whether the group is assumed to act together as a synergistic group in achievin...
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Last Updated: 10/28/2021
in Additional Information When an individual or small group derives priorities in an AHP model, they can evaluate either from the top down (from goal to objectives to alternatives) or bottom up (from alternatives, to covering objectives, to top level objectives). A to...
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The priorities for elements in each cluster of the objectives hierarchy, as well as the priorities derived for the alternatives with respect to each covering objective, are referred to as "local" priorities. The options available on the "Cluster ...
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Last Updated: 10/28/2021
in Additional Information Important decisions and resource allocations involve some combination of hard data and judgment. Expert Choice has effective ways for you to synthesize hard data and judgment into rational, defensible, convincing decisions. This is accomplished b...
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Last Updated: 10/28/2021
in Additional Information Overview The theory of AHP does not demand perfect consistency. AHP allows inconsistency but provides a measure of the inconsistency in each set of judgments. This measure is an important by-product of the process of deriving priorities base...
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Last Updated: 10/28/2021
in Additional Information Brightness of Light Experiment Area Validation Experiment The relative areas of different geometric shapes (each within an order of magnitude) were derived from pairwise verbal judgments for shapes such as the following: This experiment...
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Last Updated: 10/28/2021
in Additional Information Expert Choice employs an algorithm to determine when a spanning set of judgments has been entered for a cluster of elements, at which point priorities can be derived. A spanning set of judgments is such that every element can be "reached" from eve...