Model-Based Decision Support Methodology with Environmental Applications

Wierzbicki, A.P., Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972, & Wessels, J. (2000). Model-Based Decision Support Methodology with Environmental Applications. Dordrecht: Kluwer Academic Publishers. ISBN 978-0-7923-6327-9

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Abstract

This is the first book to develop a decision support methodology for strategic environmental decision problems, and provides several generic as well as specific tools. The book is divided into three parts plus an Appendix.

Part I introduces the methodological background and describes various features of the decision environment and the ways in which model-based decision support can help the decision making process. The methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision makers at various stages of decision making, is presented. These methods support not only the analysis of compromise solutions that correspond best to decision maker preferences but also allow the use of other modeling concepts like soft constraints, soft simulation, or inverse simulation.

Part II describes various types of tools that are used for the development of decision support systems. Several of these tools described in the Appendix are available from IIASA's Web site, free of charge, for use in research and teaching.

The last part of the book consists of four chapters on applications. Each chapter treats an area of environmental decision making: water quality management in river basins, land use planning, cost effective policies for improving air quality, and energy planning. For each area decision support systems are presented and it is shown how they are used for supporting decision making and negotiations.

The applications as well as the methodology presented in this book have been developed at IIASA in close cooperation with several other institutes and organizations.

Item Type: Book
Research Programs: Risk, Modeling and Society (RMS)
Bibliographic Reference: Kluwer Academic Publishers, Dordrecht, Netherlands [2000]
Related URLs:
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:12
Last Modified: 27 Aug 2021 17:17
URI: https://pure.iiasa.ac.at/6106

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