Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river

Date: 15 August 2018
Latest version: 28 January 2020
Paper: David N. Barton, Håkon Sundt, Ana Adeva Bustos, Hans-Petter Fjellstad, Richard Hedger, Torbjørn Forseth, Berit Köhler, Øystein Ås, Knut Alfredsen, Anders L Madsen
Model: David N. Barton, NINA
WWW: Anders L Madsen, HUGIN

Introduction

The online interface below implements a multi-criteria decision analysis (MCDA) in an object-oriented Bayesian network (OOBN) with scaling and weight nodes specifying an additive multi-attribute value function. The OOBN is used to integrate impacts generated by quantitative simulation models of hydropower revenues and Atlantic salmon smolt production, with qualitative expert modeling of mesohabitat fishability and riverscape aesthetics. See Barton et al. (under review) for further documentation[Barton et al, 2018]. The tabs below represent the node monitors in the OOBN - green bars represent the probability distribution, while orange bars represent marginal utilities of each node state (in HUGIN software the utilities are represented by the bars on the right hand side of the monitors in Figure 1). Separate tabs provide a dashboard of node monitors for the Fishability (Figure 2) and Riverscape aesthetics (Figure 3) sub-networks in the OOBN.

Figure 1: The main model with node monitors displaying marginal distributions.
Figure 2: The Fishability sub-network.
Figure 3: The Riverscape aesthetics sub-network.

Interactive Front-end

Below are some HUGIN widgets for interacting with the model. This interface has been developed using the HUGIN Web Service API ([Madsen et al, 2013]).

Decision Alternatives

Design

Preferences

Scaling Main model

Scaling Sub-networks

Fishability

Aesthetics

References

[Barton et al, 2020] David N. Barton, Håkon Sundt, Ana Adeva Bustos, Hans-Petter Fjellstad, Richard Hedger, Torbjørn Forseth, Berit Köhler, Øystein Ås, Knut Alfredsen, Anders L Madsen. Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. Environmental Modelling and Software 124. Online paper.

Useful references for those interested in BBN include:

[Kjærulff and Madsen, 2013] Kjærulff, U. B. and Madsen, A. L. (2013) Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Springer, Second Edition.

[Madsen et al, 2013] Madsen, A. L., Karlsen, M., Barker, G. C., Garcia, A. B., Hoorfar, J., Jensen, F (2013). A Software Package for Web Deployment of Probabilistic Graphical Models. In Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence (SCAI), pages 175-184.

Contact information

For further details on the paper: David N. Barton (NINA)

For further details on the use of Bayesian networks and web deployment of models contact: Anders L Madsen (alm(at)hugin(dot)com)

Disclaimer
HUGIN EXPERT A/S takes no responsibility whatsoever for examples and information in examples published on this web site. ALL EXAMPLES ARE FOR DEMONSTRATION PURPOSES ONLY.