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Multi-criteria decision analysis :: environmental applications and case studies / Igor Linkov and Emily Moberg

By: Contributor(s): Material type: TextTextPublication details: Boca Raton CRC Press 2012Description: 186 pISBN:
  • 9781138072510
Subject(s): DDC classification:
  • 363.7006 LIN-I
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Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 360 General Stack (For lending) 363.7006 LIN-I (Browse shelf(Opens below)) Available 37529
Total holds: 0

Environmental management is often complicated and multidisciplinary and the issues that arise can be difficult to solve analytically. Often, decision makers take ad hoc approaches, which may result in the ignoring of important stakeholder opinions or decision criteria. Multi-criteria decision analysis (MCDA) provides a framework by which these types of decisions can be made but, despite being used effectively in many fields, it is not often used in environmental management.

Given the novelty and inherent applicability of this decision making framework to the environmental field, there is a need for more teaching tools for MCDA. In particular, there is a need for a case study based approach to help readers navigate the many MCDA methods and decide how to apply them to a specific case.

Through a collection of case studies, Multi-Criteria Decision Analysis: Environmental Applications and Case Studies gives readers the tools to apply cutting-edge MCDA methods to their own environmental projects. It offers an overview of the types of MCDA available and a conceptual framework of how it is applied, with the focus on its applicability for environmental science.

Taking an in-depth look at the case of sediment management, the book introduces different steps of MCDA processes―from problem formulation and model development to criteria weighing and alternative scoring. The authors then explore the case using various MCDA methods, which allows readers to see clearly how the methodologies differ and gain a better understanding of the mechanistic operation of the analysis.

A series of case studies in nanotechnology collectively demonstrate the application of MCDA in situations of high variability and uncertainty that require the integration of technical information and expert judgment―an area where MCDA clearly shines. The authors describe multiple decisions―from risk classification to value of information analysis to the assessment of potential research and funding investments―that readers may face in dealing with emerging environmental threats.

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