Abstract
The task of scenario analysis is to choose selectively some scenarios of the total scenario space, which are representative, consistent and without contradictions, stable and quite different to each other. Because the total scenario space contains often several million elements, a systematic approach is needed. In this paper a new approach is described, which uses fuzzy rule bases to evaluate the desired attributes of scenarios. The rule bases are stated in a general manner, therefore they can be used for every scenario analysis independent of the examined topic. The specific reference to the actual topic is drawn by constructing empirical membership functions out of the specific data.
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© 2002 Springer-Verlag Berlin Heidelberg
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Missler-Behr, M. (2002). Fuzzy Scenario Evaluation. In: Gaul, W., Ritter, G. (eds) Classification, Automation, and New Media. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55991-4_37
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DOI: https://doi.org/10.1007/978-3-642-55991-4_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43233-3
Online ISBN: 978-3-642-55991-4
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