The DTT implements some of the most popular and applied algorhythms originated from the Decision Theory Area:
- Multi Value Attribute Theory;
- Hierarchical Analysis
- Electre III
These methods have proved to be a valuable mean to help decision makers extract a rank from a pool of alternatives, each alternative representing a set of actions, on the basis of the qualitative/quantitative impact each alternative has on a manifoldness of indicators.
The functions developed fully emulates the methods above mentioned, handling exceptions arising from a particular input dataset.
The Multi Value Attribute Theory function (MAVT) lets you either directly provide the weight vector (a weight factor for each indicator) or interactively derive it through a succession of couples-preference test.
The Hierarchical Analysis function (HYEA) lets you define incomplete hierarchical structures on the input dataset.
The DT Toolbox contains a GUI demo, DTdemo, providing users with an overview of the capabilities offered by the functions herein implemented.
Once installed the DT Toolbox, type
at the command line to begin!!!
Francesco di Pierro (2024). Decision Theory Toolbox (DTT) (https://www.mathworks.com/matlabcentral/fileexchange/1858-decision-theory-toolbox-dtt), MATLAB Central File Exchange. Retrieved .
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Fixed bugs for users of MATLAB 6.5 and newer releases.