Uncertain Information and Linear Systems (Hardcover, 1st ed. 2020)

This book identifies the important uncertainties to use in real-world problem modeling. Having information about several types of ambiguities, vagueness, and uncertainties is vital in modeling problems that involve linguistic variables, parameters, and word computing. Today, since most of our real-world problems are related to decision-making at the right time, we need to apply intelligent decision science. Clearly, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 254
Release date:	October 2019
First published:	2020
Authors:	Tofigh Allahviranloo
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	257
Edition:	1st ed. 2020
ISBN-13:	978-3-03-031323-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-03-031323-9
Barcode:	9783030313234

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