Multi-criteria risk management with the use of DecernsMCDA: methods and case studies

Boris Yatsalo (), Sergey Gritsyuk, Terry Sullivan, Benjamin Trump and Igor Linkov
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Boris Yatsalo: National Research Nuclear University MEPHI (IATE NRNU MEPHI)
Sergey Gritsyuk: National Research Nuclear University MEPHI (IATE NRNU MEPHI)
Terry Sullivan: Brookhaven National Laboratory (BNL)
Benjamin Trump: University of Michigan School of Public Health
Igor Linkov: U.S. Army Engineer Research and Development Center

Environment Systems and Decisions, 2016, vol. 36, issue 3, 266-276

Abstract: Abstract Emerging challenges of risk management, environmental protection, and land-use planning requires integration of stakeholder values and expert judgment. The process of decision making in situation of high uncertainty can be assisted through the use of decision support systems (DSSs). Such DSSs are often based on tools for spatial data representation (GIS) and environmental models that are integrated using multi-criteria decision analysis (MCDA). This paper presents DecernsMCDA implementing all major types of multi-criteria methods and tools (AHP, MAUT, Outranking) under the same user interface. In addition to providing ability for testing model uncertainty associated with selection of specific MCDA algorithms, DecernsMCDA implements new algorithms for parameter uncertainty analysis based on probabilistic approaches and fuzzy sets. The paper illustrates application of DecernsMCDA for selecting remedial alternative at radiologically contaminated sites.

Keywords: Risk management; Multi-criteria decision analysis; Decision support system; MCDA software; Uncertainty analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s10669-016-9598-1

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