Difference between revisions of "Analysis of the Influence of Global Threats on the Sustainable Development of Countries and Regions of the World Using Bayesian Belief Networks"
From IFORS Developing Countries Online Resources
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'''Abstract''' | '''Abstract''' | ||
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Bayesian Belief Networks are used to establish qualitative causal relations between global threats and indicators of sustainable development. The method of belief network synthesis and a method of generalization of final results are proposed. This made it possible to obtain a holistic understanding of effects of global threats on the sustainable development of countries and regions of the world. | Bayesian Belief Networks are used to establish qualitative causal relations between global threats and indicators of sustainable development. The method of belief network synthesis and a method of generalization of final results are proposed. This made it possible to obtain a holistic understanding of effects of global threats on the sustainable development of countries and regions of the world. | ||
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'''Keywords:''' global threat, sustainable development, entropy, information, Bayesian belief network, Boolean function. | '''Keywords:''' global threat, sustainable development, entropy, information, Bayesian belief network, Boolean function. | ||
| − | '''Link to material:''' http://ifors.org | + | '''Link to material:''' http://ifors.org/wp-content/uploads/2015/02/14.pdf |
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[[Category:Safety]] | [[Category:Safety]] | ||
Latest revision as of 06:43, 30 July 2019
by: M. Z. Zgurovsky, A. A. Boldak and T. N. Pomerantseva
Abstract
Bayesian Belief Networks are used to establish qualitative causal relations between global threats and indicators of sustainable development. The method of belief network synthesis and a method of generalization of final results are proposed. This made it possible to obtain a holistic understanding of effects of global threats on the sustainable development of countries and regions of the world.
Keywords: global threat, sustainable development, entropy, information, Bayesian belief network, Boolean function.
Link to material: http://ifors.org/wp-content/uploads/2015/02/14.pdf
