Tutorials
Version 2.X
List of available tutorials
-
Tutorial 01: Building a hierarchical pairwise comparison model
In this tutorial you will learn how to create a hierarchical pairwise comparison model in SuperDecisions, add nodes and clusters, make connections,
enter judgments, get results and perform sensitivity analysis on the results.
-
Tutorial 02: Creating a ratings model
In this tutorial you will learn how to create a ratings model.
The ratings approach is used when there is a large number of alternatives to be evaluated.
-
Tutorial 03: AHP Sensitivity Analysis
Sensitivity analysis is used to analyze how the priorities of the alternative solutions change
as we vary the priority of one or more decision making factors (criteria).
-
Tutorial 04: Changing from AHP to ANP
In this tutorial you will learn how to transform an AHP model to an ANP model
that is a pairwise comparisons model with dependencies and feedback.
-
Tutorial 05: ANP Network Model for estimating Market Share
ANP can be used very successfully to estimate market share.
By creating market share models we can validate the ANP method,
since we can show that the results we get using judgment are comparable against independent data sources.
-
Tutorial 06: ANP Complex BOCR Models
In this tutorial you will learn how to create complex models. By complex model we mean a BOCR model that
has a top level network containing the BOCR nodes (the merits);
control criteria hierarchies attached to each BOCR node; and decision subnets attached to selected control criteria.
Tutorial 01: Building a hierarchical pairwise comparison model
In this tutorial you will learn how to create a hierarchical pairwise comparison model in SuperDecisions, add nodes and clusters, make connections, enter judgments, get results and perform sensitivity analysis on the results.
Tutorial 02: Creating a ratings model
In this tutorial you will learn how to create a ratings model. The ratings approach is used when there is a large number of alternatives to be evaluated.
Tutorial 03: AHP Sensitivity Analysis
Sensitivity analysis is used to analyze how the priorities of the alternative solutions change as we vary the priority of one or more decision making factors (criteria).
Tutorial 04: Changing from AHP to ANP
In this tutorial you will learn how to transform an AHP model to an ANP model that is a pairwise comparisons model with dependencies and feedback.
Tutorial 05: ANP Network Model for estimating Market Share
ANP can be used very successfully to estimate market share. By creating market share models we can validate the ANP method, since we can show that the results we get using judgment are comparable against independent data sources.
Tutorial 06: ANP Complex BOCR Models
In this tutorial you will learn how to create complex models. By complex model we mean a BOCR model that has a top level network containing the BOCR nodes (the merits); control criteria hierarchies attached to each BOCR node; and decision subnets attached to selected control criteria.