Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
497205 | Applied Soft Computing | 2010 | 12 Pages |
Abstract
Beyond serving in complex decision-making, both the Analytic Hierarchy Process (AHP) and the Analytic Network Process (ANP) for the measurement of both tangibles and intangibles can be used in prediction rather effectively. This paper examines the potential of these models to help one discern current states and situations as well as suggest future outcomes. The first example uses the AHP to predict the Democratic Nominee in the 2008 United States presidential election and then uses that information to predict the overall election winner. The second example uses the ANP to predict the market share for ski equipment. The general structure of these models can be applied in many and diverse situations.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Francesco Zammori,