Chapter 1. System Analysis

  1. Olaf Wolkenhauer Ph.D.

Published Online: 9 FEB 2002

DOI: 10.1002/0471224340.ch1

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

How to Cite

Wolkenhauer, O. (2002) System Analysis, in Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis, John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471224340.ch1

Author Information

  1. University of Manchester Institute of Science and Technology, Manchester, UK

Publication History

  1. Published Online: 9 FEB 2002
  2. Published Print: 1 JUL 2001

ISBN Information

Print ISBN: 9780471416562

Online ISBN: 9780471224341

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Keywords:

  • uncertainty;
  • modelling;
  • linkage;
  • system analysis

Summary

Concepts covered in this chapter include:

  • Scientific theories deal with concepts, not with reality.

  • Systems theory uses mathematical concepts to describe aspects of the ‘real-world’.

  • A formal model is a graph, i.e. a subset of a product space formed by variables characterizing a system or process.

  • An observable is some characteristic of a system which can, in principle, be measured.

  • A state is a specification of a system or process at a specific instant.

  • A dynamic system or process is a system in which the state changes with time.

  • Differential equations are a common way to encode dynamics.

  • There are many alternative and equally valid ways to represent a system...