A Decision Support System for Ranking Countermeasures for Radionuclide Contaminated Aquatic Ecosystems: The MOIRA project
Autor(en):
Zusammenfassung
This paper describes the evaluation module in the MOIRA system, which is a decision support system based on a multi-attribute additive value model, aim at the identification of optimal remedial strategies restoration of aquatic ecosystems contaminated by radionuclides. It includes facilities for assessing imprecise scalar utility functions and scaling factors, as well as a sensitivity analysis tool to check the sensitivity of the conclusions to the inputs, to allow the decision makers to gain insights into the problem. An example based on real data illustrates the usefulness of the system.
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- BibTeX
Ríos-Insua, S., Gallego, E., Mateos, A. & Jiménez, A.,
(1999).
A Decision Support System for Ranking Countermeasures for Radionuclide Contaminated Aquatic Ecosystems: The MOIRA project.
In:
Rautenstrauch, C. & Schenk, M.
(Hrsg.),
Umweltinformatik ’99 - Umweltinformatik zwischen Theorie und Industrieanwendung.
Marburg:
Metropolis.
@inproceedings{mci/Ríos-Insua1999,
author = {Ríos-Insua, Sixto AND Gallego, Eduardo AND Mateos, Alfonso AND Jiménez, Antonio},
title = {A Decision Support System for Ranking Countermeasures for Radionuclide Contaminated Aquatic Ecosystems: The MOIRA project},
booktitle = {Umweltinformatik ’99 - Umweltinformatik zwischen Theorie und Industrieanwendung},
year = {1999},
editor = {Rautenstrauch, Claus AND Schenk, Michael},
publisher = {Metropolis},
address = {Marburg}
}
author = {Ríos-Insua, Sixto AND Gallego, Eduardo AND Mateos, Alfonso AND Jiménez, Antonio},
title = {A Decision Support System for Ranking Countermeasures for Radionuclide Contaminated Aquatic Ecosystems: The MOIRA project},
booktitle = {Umweltinformatik ’99 - Umweltinformatik zwischen Theorie und Industrieanwendung},
year = {1999},
editor = {Rautenstrauch, Claus AND Schenk, Michael},
publisher = {Metropolis},
address = {Marburg}
}
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Mehr Information
Datum: 1999
Typ: Text/Conference Paper

