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ECSQARU
2009
Springer

Different Representations of Fuzzy Vectors

9 years 11 months ago
Different Representations of Fuzzy Vectors
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classical tool for representation and computation with compact convex sets. The combination of these two techniques--support functions of fuzzy vectors--has been proposed by Puri and Ralescu. Independently, Bobylev proposed another type of support functions which allows a more economical representation. However, the form of the functions is not very intuitive. We suggest a new type of support functions which combines the advantages of both preceding approaches. We characterize the functions which are support functions of fuzzy vectors in the new sense.
Jiuzhen Liang, Mirko Navara, Thomas Vetterlein
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2009
Where ECSQARU
Authors Jiuzhen Liang, Mirko Navara, Thomas Vetterlein
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