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 environmentThis 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.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.
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)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 environmentTheoretical fundations of a new developed hybrid probabilistic/possibilistic models for risk assessment in grid computing environments
The book addresses to economists, computer scientists, engineers and all people interested in the applications of possibility theory
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