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Using an integrated fuzzy set and deliberative multi-criteria evaluation approach to facilitate decision-making in invasive species management
Journal article   Peer reviewed

Using an integrated fuzzy set and deliberative multi-criteria evaluation approach to facilitate decision-making in invasive species management

Shuang Liu, Wendy Proctor and David Cook
Ecological economics, Vol.69(12), pp.2374-2382
2010

Abstract

Non-Indigenous Species (NIS) Environmental impacts Social impacts Economic impacts Group decision-making Risk communication
There are two issues at the core of invasive species risk management: on the one hand, decision-makers struggle to balance environmental goals against other often competing societal goals such as economic benefits and social welfare; on the other hand, uncertainty often prevails in understanding the invasion process and in communicating invasion risks to the stakeholders. In this paper, we describe how an integrated Deliberative Multi-Criteria Evaluation (DMCE) and fuzzy set approach can tackle these two issues in the analysis of alternative risk management strategies, using the example of European House Borer (EHB, Hylotrupes bajulus Linnaeus). DMCE offers a platform for stakeholders to interact and to make a trade-off decision between multiple goals based on social learning and deliberation. The fuzzy set approach, applied within a DMCE framework, explicitly incorporates the inherent uncertainty in estimating potential EHB impacts and in evaluating participants' subjective preferences. This integrated method, therefore, provides a promising approach for tackling the dual challenges of competing goals and uncertainty in the evaluation of invasive species risk management options.

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Collaboration types
Domestic collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.61 Artificial Intelligence & Machine Learning
4.61.56 Fuzzy Decision-Making
Web Of Science research areas
Ecology
Economics
Environmental Sciences
Environmental Studies
ESI research areas
Economics & Business
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