Uncertain Computation-Based Decision Theory
Authors : Rafik Aliev (Azerbaijan State Oil and Industry University, Azerbaijan)
Publisher : World Scientific
ISBN : 978-981-3228-93-1
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Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables.
This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives.
The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis.
This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives.
The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis.
Details for this author are currently not available.
There are currently no reviews for this book title.
Buy this book, http://www.worldscientific.com/worldscibooks/10.1142/10679, 9655, false
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