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This book examines fundamental issues of risk assessment in grid computing environments. The authors describe the development of a hybrid probabilistic and possibilistic model for assessing the success of a computing task.

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The book deals with some of the fundamental issues of risk assessment in grid computing environments.
The book describes the development of a hybrid probabilistic and possibilistic model for assessing the success of a computing task in a grid environment

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Introduction.- Generalities on fuzzy sets.- Possibilistic indicators.- Possibilistic risk aversion.- Expected utility operators and possibilistic risk aversion.- Multidimensional possibilistic risk aversion.- Risk aversion with mixed parameters.- Credibility theory.- Concluding remarks.

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From the reviews:
"The book contains a detailed theoretical presentation of these models and, in general, of some fundamental topics of risk theory within the framework of possibility theory. ... The book concludes with a list of important open problems which can definitely deserve the attention of a reader interested in working in the topic. ... its contents have a much wider field of applicability and will be definitely appreciated especially by readers who are looking for a compact ... presentation of possibilistic models for risk theory applications." (Renato Pelessoni, Mathematical Reviews, November, 2013)

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