Название: Uncertain Computation-based Decision TheoryАвтор: Rafik Aliev
Издательство: World Scientific Publishing Co Pte Ltd
Год: 2017
ISBN: 9789813228931
Формат: pdf
Страниц: 540
Размер: 10,1 mb
Язык: English
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.
Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and mathematical economics.