An evolutionary bayesian belief network methodology for participatory decision making under uncertainty: An application to groundwater management

Integrated Environmental Assessment and Management

Volumn 8, Issue 3, 2012, Pages 456-461

  Farmani, Raziyeh ^a   Henriksen, Hans Jørgen ^b   Savic, Dragan ^a   Butler, David ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b GEOLOGICAL SURVEY OF DENMARK AND GREENLAND   (Denmark)

Author keywords

Bayesian belief network; Evolutionary multiobjective optimization; Management; Validation

Indexed keywords

GROUND WATER;

ALGORITHM; ARTICLE; BAYES THEOREM; DECISION MAKING; UNCERTAINTY; WATER POLLUTION; WATER SUPPLY;

ALGORITHMS; BAYES THEOREM; DECISION MAKING; GROUNDWATER; UNCERTAINTY; WATER POLLUTION; WATER SUPPLY;

EID: 84868275486     PISSN: 15513793     EISSN: None     Source Type: Journal    
DOI: 10.1002/ieam.192     Document Type: Article

References (21)

1. Bromley J. 2005. Guidelines for the use of Bayesian networks as a participatory tool for Water Resource Management. Based on results of the MERIT project (www.merit-eu.net/guidelines). Wallingford (UK): Centre for Ecology and Hydrology. 117 p.
2. Bromley J, Jackson N, Clymer O, Giacomello A, Jensen F. 2005. The use of Hugin to develop Bayesian Network as an aid to integrated water resource planning. Environ Model Software 20:231-242.
3. Castelletti A, Soncini-Sessa R. 2006. A procedural approach to strengthening integration and participation in water resource planning. Environ Model Software 21:1455-1470.
4. Castelletti A, Soncini-Sessa R. 2007. Bayesian Networks and participatory modelling in water resource management. Environ Model Software 22:1075-1088.
5. Deb K, Agrawal S, Pratap A, Meyarivan T. 2000. A fast and elitist multiobjective genetic algorithm: NSGA-II. Technical Report 200001. Kanpur (IN): Kanpur Genetic Algorithms Laboratory (KanGAL), Indian Institute of Technology.
6. Farmani R, Henriksen HJ, Savic D. 2009. An evolutionary Bayesian belief network methodology for optimum management of groundwater contamination. Environ Model Software 24:303-310.
7. Farmani R, Savic D, Walters GA. 2005. Evolutionary multiobjective optimisation in water distribution network design. J Eng Optimization 37:167-183.
8. Hammond JS, Keeney RL, Raiffa H. 2002. Smart choices: A practical guide to making better life decisions. New York (NY): Broadway Books. 241 p.
9. Henriksen HJ, Rasmussen P, Brandt G, Bülow Dv, Jensen FV. 2007a. Engaging stakeholders in construction and validation of Bayesian belief network for groundwater protection. Top Syst Anal Integr Water Resour Manag 3:49-72.
10. Henriksen HJ, Rasmussen P, Brandt G, Bülow Dv, Jensen FV. 2007b. Public participation modelling using Bayesian networks in management of groundwater contamination. Environ Model Software 22:1101-1113.
11. Howard R, Matheson JE. 2005a. Influence diagrams. Decision Anal 2:127-143.
12. Howard R, Matheson JE. 2005b. Influence diagrams retrospective. Decision Anal 2:144-147.
13. Hugin Expert A/S. 2007. [cited 2011 May 2] Available from: www.Hugin.com
14. Jensen FV. 1996. An introduction to Bayesian networks. 1st ed. London (UK): UCL Press. 178 p.
15. Keeney RL, Raiffa H. 1993. Decision with multiple objectives: Preferences and value tradeoffs. New York (NY): Cambridge University Press.
16. Pahl-Wostl C. 2006. NeWater Project Consortium newsletter. Available from: http://www.newater.info/index.php?pid=1015
17. Rosenhead J, Mingers J. 2001. Rational analysis for a problematic world revisited. Chichester (UK): John Wiley & Sons. 384 p.
18. Savić DA, Bicik J, Morley MS. 2010. GANetXL: A DSS generator for multiobjective optimisation of spreadsheet-based models. Environ Model Software 26:551-561.
19. Sebastiani P, Perls TT. 2008. Complex genetic models. Chapter 4.
20. In: Pourret O, Naï P, Marcot B, editors. Bayesian networks. A practical guide to applications. Hoboken (NJ): John Wiley & Sons. p 53-72.
21. Ticehurst JL, Newham LHT, Rissik D, Letcher RA, Jakeman AJ. 2007. Bayesian network approach for assessing the sustainability of Coastal Lakes in New South Wales, Australia. Environ Model Software 22:1129-1139.