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2018 | Supplement | Buchkapitel

Representing Uncertainty Regarding Satisfaction Degrees Using Possibility Distributions

verfasst von : Robin De Mol, Guy De Tré

Erschienen in: Advances in Fuzzy Logic and Technology 2017

Verlag: Springer International Publishing

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Abstract

Evaluating flexible criteria on data leads to degrees of satisfaction. If a datum is uncertain, it can be uncertain to which degree it satisfies the criterion. This uncertainty can be modelled using a possibility distribution over the domain of possible degrees of satisfaction. In this work, we discuss the meaningfulness thereof by looking at the semantics of such a representation of the uncertainty. More specifically, it is shown that defuzzification of such a representation, towards usability in (multi-criteria) decision support systems, corresponds to expressing a clear attitude towards uncertainty (optimistic, pessimistic, cautious, etc.)

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Metadaten
Titel
Representing Uncertainty Regarding Satisfaction Degrees Using Possibility Distributions
verfasst von
Robin De Mol
Guy De Tré
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-66830-7_53