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
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
Theoretical 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 Written by leading experts int the field
Irina Georgescu
Credibility Theory Fuzzy Sets Grid Computing Mixed Risk Possibilistic Distributions Possibilistic Risk Aversion Possibility Theory Risk Assessment Risk Aversion Zadeh’s Extension Principle
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)