Comparison among three analytical methods for knowledge communities group-decision analysis
Expert Systems with Applications: An International Journal
Uncertainty in the environmental modelling process - A framework and guidance
Environmental Modelling & Software
WEEE treatment strategies' evaluation using fuzzy LINMAP method
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
A methodology for the design and development of integrated models for policy support
Environmental Modelling & Software
An OWA-TOPSIS method for multiple criteria decision analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A probabilistic model for linguistic multi-expert decision making involving semantic overlapping
Expert Systems with Applications: An International Journal
A fuzzy multi-criteria decision making model for supplier selection
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Recent progress in natural computation and knowledge discovery
Expert Systems with Applications: An International Journal
Environmental Modelling & Software
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment
Information Sciences: an International Journal
Fuzzy extension of TOPSIS model for group decision making under multiple criteria
Artificial Intelligence Review
Why are decisions in flood disaster management so poorly supported by information from flood models?
Environmental Modelling & Software
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In this study, we developed an innovative operational decision-support system (DSS) based on flood data and mitigation or recovery options, that can be used by both naive and expert users to score portfolios of flood mitigation or recovery measures. The DSS combines exposure (i.e., economic, social, or environmental values at risk) and resilience (i.e., protection of the main equilibrium functions of human and physical systems). Experts from different fields define indices and functions, stakeholders express their attitudes towards risk, relative weights, and risk perceptions, and both groups use a shared learning process for risk assessment. The DSS algorithms include the ''technique for order performance by similarity to ideal solution'' (TOPSIS) and the ''basic linguistic term set'' (BLTS) methods for heterogeneous multi-criteria multi-expert decision-making. Decisions are illustrated using fixed or bounded values of flood depth, duration, and frequency, with plausible parameter values, for a case study of Cesenatico. The best mitigation option was construction of sand dunes and development of evacuation plans, which achieved 32% of the potential net benefit. The best recovery option was construction of sand dunes and development of evacuation plans and insurance schemes, which achieved 42% of the potential net benefit. Mitigation options outperformed recovery options whenever the relative importance of exposure with respect to resilience was greater than 95%. Sensitivity analysis revealed that the best mitigation option was most robust with respect to flood duration and depth; the best recovery option was most robust with respect to the relative weights attached to economic, social, and environmental factors. Both options were similarly robust with respect to interdependencies between the options.