Uncertain Information and Linear Systems

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Uncertain Information and Linear Systems is written by Tofigh Allahviranloo and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3030313247 (ISBN 10) and 9783030313241 (ISBN 13).

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.