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Uncertain Computation-based Decision Theory

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Uncertain Computation-based Decision Theory Synopsis

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.

About This Edition

ISBN: 9789813228931
Publication date: 30th January 2018
Author: Rafik Aziz (Azerbaijan State Oil & Industry Univ, Azerbaijan) Aliev
Publisher: World Scientific Publishing Co Pte Ltd
Format: Hardback
Pagination: 540 pages
Genres: Decision theory: general