Methodologies for risk analysis and decision making

R. Leal e Sousa

Methodologies for risk analysis and decision making

R. Leal e Sousa

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Scopus citations

Abstract

There are a number of models available for data analysis and representation, including event trees, rule-based systems, fuzzy-rule based systems, artificial neural networks, and Bayesian networks. In this paper several models for data analysis and representation are described, and common techniques for risk assessment are presented. The fundamentals of Bayesian Networks and Decision graphs are introduced, since these will be used in following chapters. Applications of Bayesian Networks and decision graphs to risk analysis problems are presented.

Original language	English
Title of host publication	CO 2 Storage in Carboniferous Formations and Abandoned Coal Mines
Pages	125-152
Number of pages	28
ISBN (Electronic)	9780429096327
State	Published - 16 Sep 2011

Cite this

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abstract = "There are a number of models available for data analysis and representation, including event trees, rule-based systems, fuzzy-rule based systems, artificial neural networks, and Bayesian networks. In this paper several models for data analysis and representation are described, and common techniques for risk assessment are presented. The fundamentals of Bayesian Networks and Decision graphs are introduced, since these will be used in following chapters. Applications of Bayesian Networks and decision graphs to risk analysis problems are presented.",

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Methodologies for risk analysis and decision making

Abstract

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