Download or read book Uncertain Information and Linear Systems written by Tofigh Allahviranloo and published by Springer Nature. This book was released on 2019-09-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.