2005
DOI: 10.1524/auto.53.4.233.62251
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Ein Konzept zur automatischen Lösung von Entscheidungsproblemen bei Unsicherheit mittels der Theorie der unscharfen Mengen und der Evidenztheorie

Abstract: Vorwort AbstractNumerous methods allow for the automatic design of decision systems with respect to uncertainty. Among these are machine learning, artificial neural networks and statistical methods. Only very few cases consider the different consequences of false decisions. Most design methods also fall short of the possibility to delegate decisions to an expert in cases of contradictive or insufficient information.This thesis contributes to the advancement of methods for the automatic design of fuzzy decision… Show more

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Cited by 2 publications
(2 citation statements)
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“…Therefore, a sound theoretical framework has to be built, using adequate theories like the Dempster-Shafer theory of evidence (Shafer 1976) or the theory of fuzzy sets (Zadeh 1965). A general overview of the theoretical background can be found in Beck (2005). Both theories have already been applied to problems of decision making in forest management.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a sound theoretical framework has to be built, using adequate theories like the Dempster-Shafer theory of evidence (Shafer 1976) or the theory of fuzzy sets (Zadeh 1965). A general overview of the theoretical background can be found in Beck (2005). Both theories have already been applied to problems of decision making in forest management.…”
Section: Introductionmentioning
confidence: 99%
“…z.B. ZIMMERMANN 1993;ROMMELFANGER 1994;BECK 2004). Die Bandbreite der Kategorisierungen reicht von ‚formal-normativen' über ‚probabilistische' bis hin zu ‚integrativ-ökologischen' Ansätzen.…”
Section: Begriffliche Und Konzeptionelle Unterscheidungen Und Problemunclassified