Architecture of Systems Problem Solving / Edition 2

Architecture of Systems Problem Solving / Edition 2

by George Klir, Doug Elias
     
 

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ISBN-10: 0306473577

ISBN-13: 9780306473579

Pub. Date: 01/31/2003

Publisher: Springer US

This is the definitive text for one of the major schools of thought in systems science. It presents both a comprehensive framework for characterizing all forms of systems problems, and a set of specific methodologies for some key problems. These methodologies are based on a combination of classical and fuzzy set theories, probability and possibility theories, graph

Overview

This is the definitive text for one of the major schools of thought in systems science. It presents both a comprehensive framework for characterizing all forms of systems problems, and a set of specific methodologies for some key problems. These methodologies are based on a combination of classical and fuzzy set theories, probability and possibility theories, graph and hypergraph theories, and information theory, among others. The hardcopy text contains a revised, updated and condensed version of the first edition, accompanied by a CD containing supplementary material including additional chapters on related topics, explanatory material drawn from many years of class presentations and lectures, exercises, and fully worked out examples showing both the framework and methodology in operation on actual real-world problems. Fully operational software is made available on an associated website. The material is suitable for upper-level undergraduates and first-year graduate students with a modest background in discrete math, probability and statistics.

Product Details

ISBN-13:
9780306473579
Publisher:
Springer US
Publication date:
01/31/2003
Series:
IFSR International Series on Systems Science and Engineering , #21
Edition description:
2nd ed. 2003
Pages:
349
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

1. Introduction. 2. Source and Data Systems. 3. Generative systems. 4. Structure Systems. 5. Metasystems. A. Complexity. B. Goal-Oriented. C. System Similarity. 6. Architecture, Use, Evolution. Appendices. References. Subject Index. Author Index.

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