Uncertain Information and Linear Systems

  • Tofigh Allahviranloo

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 254)

Table of contents

  1. Front Matter
    Pages i-x
  2. Tofigh Allahviranloo
    Pages 1-7
  3. Tofigh Allahviranloo
    Pages 9-60
  4. Tofigh Allahviranloo
    Pages 61-209
  5. Tofigh Allahviranloo
    Pages 211-254
  6. Back Matter
    Pages 255-257

About this book


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.


Uncertain Information Linear Systems Fuzzy Systems Linear Equations Linear Differential Equations Fuzziness

Authors and affiliations

  • Tofigh Allahviranloo
    • 1
  1. 1.Faculty of Engineering and Natural SciencesBahçeşehir UniversityIstanbulTurkey

Bibliographic information