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| Author: | Leimbach, M. |
| Title: | Development of a fuzzy optimization model, supporting global warming decision-making |
| Journal: | Environmental and Resource Economics
1996 : MAR, VOL. 7:2, p. 163-192 |
| Index terms: | DECISION MAKING RISK AVERSION LOGIC |
| Language: | eng |
| Abstract: | An increasing number of models have been developed to support global warming response policies. The model constructors are facing a lot of uncertainties which limit the evidence of these models. The support of climate policy decision-making is only possible in a semi-quantitative way, as presented by a Fuzzy model. The model design is based on an optimization approach, integrated in a bounded risk decision-making framework. Given some regional emission-related and impact-related restrictions, optimal emission paths can be calculated. |
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