Uncertain Information and Linear Systems eBook

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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.

This is a digital product.

Uncertain Information and Linear Systems is written by Tofigh Allahviranloo and published by Springer. The Digital and eTextbook ISBNs for Uncertain Information and Linear Systems are 9783030313241, 3030313247 and the print ISBNs are 9783030313234, 3030313239.