Decision Theory Toolbox (DTT)

The DTT contains a set of functions implementing DTT algorhythms and a GUI demo.
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Actualizado 7 feb 2005

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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

>> DTdemo

at the command line to begin!!!

Citar como

Francesco di Pierro (2024). Decision Theory Toolbox (DTT) (https://www.mathworks.com/matlabcentral/fileexchange/1858-decision-theory-toolbox-dtt), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R12
Compatible con cualquier versión
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Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.0.0.0

Fixed bugs for users of MATLAB 6.5 and newer releases.