Advances in information technology provide opportunities for the development of computer systems that support risk managers in complex tasks. This book addresses four major issues in computer supported risk management: conceptual aspects; planning and policy analysis; operational decision making; and, commercial applications. Editor(s): Beroggi, Giampiero E. G.; Wallace, W. A. Series: Topics in Safety, Risk, Reliability and Quality. Num Pages: 382 pages, biography. BIC Classification: TBC; TJF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 244 x 170 x 22. Weight in Grams: 719. . 1995. Hardback. . . . .

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Bibliographic Details

Title: Computer Supported Risk Management
Publisher: Kluwer Academic Publishers
Publication Date: 1995
Language: English
ISBN 10: 0792333721
ISBN 13: 9780792333722
Binding: Hardcover
Condition: New

About this title

Synopsis

Advances in information technology provide opportunities for the development of computer systems that support risk managers in complex tasks. Leading experts report on the potentials and limitations concerning the use of computer systems in risk management. Their reports are based on many years of experience in their fields which include: risk analysis, systems engineering, geographic information systems, decision support systems, human--machine systems, and psychology.
The book addresses four major issues in computer supported risk management:

Conceptual aspects: the role, design, and use of computers in risk management
Planning and policy analysis: transportation, equity analysis, emergency management, group decision making
Operational decision making: nuclear power monitoring, emergency response, public safety warning, satellite tracking
Commercial applications: GIS from IIASA, InterClair from IAEA, EPA software, cleanup decision support software survey. This book is meant for researchers, who will find the emerging issues in risk management that are motivated by the encounter of new tasks and novel technology; practitioners who will have descriptions and references of the state-of-the-art models and software; and students who will learn the basic concepts needed to develop advanced information and decision support systems in risk management.

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