dc.contributor.author |
De Waal, AJ
|
|
dc.contributor.author |
Ritchey, T
|
|
dc.date.accessioned |
2012-01-19T13:24:07Z |
|
dc.date.available |
2012-01-19T13:24:07Z |
|
dc.date.issued |
2007-12 |
|
dc.identifier.citation |
De Waal, AJ and Ritchey, T. 2007. Combining morphological analysis and Bayesian Networks for strategic decision support. ORiON: Journal of the Operational Research Society of South Africa, Vol 23(2), pp 105-121 |
en_US |
dc.identifier.issn |
0529-191X |
|
dc.identifier.uri |
http://hdl.handle.net/10204/5516
|
|
dc.description |
Copyright: 2007 Operations Research Society of South Africa (ORSSA) |
en_US |
dc.description.abstract |
Morphological analysis (MA) and Bayesian networks (BN) are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, linking and evaluating problem spaces. BNs are graphical models which consist of a qualitative and quantitative part. The qualitative part is a cause-and-effect, or causal graph. The quantitative part depicts the strength of the causal relationships between variables. Combining MA and BN, as two phases in a modelling process, allows us to gain the benefits of both of these methods. The strength of MA lies in defining, linking and internally evaluating the parameters of problem spaces and BN modelling allows for the definition and quantification of causal relationships between variables. This paper gives a short presentation of MA and BN and discusses how these two computer aided methods can be combined to better facilitate modelling procedures. A simple example is presented, concerning a recent application in the field of environmental decision support. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Operations Research Society of South Africa (ORSSA) |
en_US |
dc.subject |
Morphological analysis |
en_US |
dc.subject |
Bayesian networks |
en_US |
dc.subject |
Strategic decision support |
en_US |
dc.title |
Combining morphological analysis and Bayesian Networks for strategic decision support |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
De Waal, A., & Ritchey, T. (2007). Combining morphological analysis and Bayesian Networks for strategic decision support. http://hdl.handle.net/10204/5516 |
en_ZA |
dc.identifier.chicagocitation |
De Waal, AJ, and T Ritchey "Combining morphological analysis and Bayesian Networks for strategic decision support." (2007) http://hdl.handle.net/10204/5516 |
en_ZA |
dc.identifier.vancouvercitation |
De Waal A, Ritchey T. Combining morphological analysis and Bayesian Networks for strategic decision support. 2007; http://hdl.handle.net/10204/5516. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - De Waal, AJ
AU - Ritchey, T
AB - Morphological analysis (MA) and Bayesian networks (BN) are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, linking and evaluating problem spaces. BNs are graphical models which consist of a qualitative and quantitative part. The qualitative part is a cause-and-effect, or causal graph. The quantitative part depicts the strength of the causal relationships between variables. Combining MA and BN, as two phases in a modelling process, allows us to gain the benefits of both of these methods. The strength of MA lies in defining, linking and internally evaluating the parameters of problem spaces and BN modelling allows for the definition and quantification of causal relationships between variables. This paper gives a short presentation of MA and BN and discusses how these two computer aided methods can be combined to better facilitate modelling procedures. A simple example is presented, concerning a recent application in the field of environmental decision support.
DA - 2007-12
DB - ResearchSpace
DP - CSIR
KW - Morphological analysis
KW - Bayesian networks
KW - Strategic decision support
LK - https://researchspace.csir.co.za
PY - 2007
SM - 0529-191X
T1 - Combining morphological analysis and Bayesian Networks for strategic decision support
TI - Combining morphological analysis and Bayesian Networks for strategic decision support
UR - http://hdl.handle.net/10204/5516
ER -
|
en_ZA |