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A Visual Decision Support System for Helping Physicians to Make A decision on New Drugs Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Integrating System Dynamics with Exploratory MCDA for Robust Decision-Making

Authors : Georgios Tsaples, Jason Papathanasiou, Nikolaos Ploskas

Published in: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

Publisher: Springer International Publishing

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Abstract

The aim of this paper is to propose a process to support decision making, in which System Dynamics is combined with Multi Criteria Decision Aid methods to mitigate the limitations of the two methodologies when used alone and find robust policies. The proposed process is based on Exploratory Modeling and Analysis, a framework that allows the use of multiple methods – under different perceptions, detail, and levels of abstraction – in order to address issues of uncertainty and robustness. A case study is used to illustrate how the process can offer deeper insights and act as a valuable decision support system. Finally, it also demonstrates the potential of Exploratory Modeling and Analysis to deal with uncertainties and identify robust policies.

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previous chapter Implementation of an Extended Fuzzy VIKOR Method Based on Triangular and Trapezoidal Fuzzy Linguistic Variables and Alternative Deffuzification Techniques
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Metadata
Title
Integrating System Dynamics with Exploratory MCDA for Robust Decision-Making
Authors
Georgios Tsaples
Jason Papathanasiou
Nikolaos Ploskas
Copyright Year
2017
Book
Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

Print ISBN: 978-3-319-57486-8

Electronic ISBN: 978-3-319-57487-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-57487-5_13

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