System Analysis: Theory and Applications / Edition 1

by Mikhail Z. Zgurovsky, N.D. Pankratova

Overview

The foundations of system analysis as an applied scientific methodology assigned for the investigation of complex and highly interdisciplinary problems are provided in this monograph. The basic definitions and the methodological and theoretical basis of formalization and solution processes in various subject domains are presented. The methods of formalizing the system tasks and reducing them to a solvable form under real-world conditions and by taking into account e.g. sets of contradictory purposes, quantitative and qualitative characteristics of information, different kinds of uncertainties and risks are described in detail. In addition, the authors propose methods for disclosing the conceptual uncertainty and develop a strategy for system interaction or counteraction of coalitions under multifactorial risks. All these topics are supported by the presentation of computing algorithms and solution procedures for practical problems in socio-economics and in technology, e.g. for designing complex interconnected systems to function under the conditions of uncertainty and risk.

This monograph will be useful to researcher, post-graduates and advanced students spezializing in system analysis, decision making, strategic planning or engineering design.

Product Details

ISBN-13:	9783642080289
Publisher:	Springer Berlin Heidelberg
Publication date:	11/19/2010
Series:	Data and Knowledge in a Changing World
Edition description:	Softcover reprint of hardcover 1st ed. 2007
Pages:	447
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

The Subject Domain of System Analysis.- Basic Notions of System Analysis.- Disclosing Uncertainties in System Analysis Problems.- Disclosing Uncertainties in Problems of Interaction and Counteraction of Coalitions.- Information Analysis of System Problems.- Structural-Functional Analysis of Complex Hierarchical Systems.- Problems and Methods of System Analysis of Multifactor Risks.- System Control of Complex Objects.- Foresight System Methodology.