Properties Evaluation of an Approach Based on Probability-Possibility Transformation (Contributo in atti di convegno)

Type
Label
  • Properties Evaluation of an Approach Based on Probability-Possibility Transformation (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-1-4614-3535-8_87 (literal)
Alternative label
  • Marco Pota, Massimo Esposito, Giuseppe De Pietro (2013)
    Properties Evaluation of an Approach Based on Probability-Possibility Transformation
    in International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2011), 3-12 December 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marco Pota, Massimo Esposito, Giuseppe De Pietro (literal)
Pagina inizio
  • 1053 (literal)
Pagina fine
  • 1065 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-1-4614-3535-8_87 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Innovations and Advances in Computer, Information, Systems Sciences, and Engineering (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 152 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 13 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, ICAR-CNR, ICAR-CNR (literal)
Titolo
  • Properties Evaluation of an Approach Based on Probability-Possibility Transformation (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4614-3534-1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Khaled Elleithy, Tarek Sobh (literal)
Abstract
  • The recent research on classification problems, in fields where vague concepts have to be considered, agree on the utility of fuzzy logic. An important step of inference engines preparation is the definition of fuzzy sets. When probability distributions of concerned variables are known, they can be used to define fuzzy sets, and different methods allow to perform this transformation. A method recently proposed by authors is compared here with other existing methods, in terms of assumptions and properties about the obtained fuzzy set, also considered with respect to the probability distribution it was calculated from. The best existing transformation in terms of compromise between consistency and specificity results to be a particular case of the proposed transformation, which can therefore be considered a more general method. Moreover, it enables, with a small loss of consistency, to find more interpretable fuzzy sets, while the case of less specific fuzzy sets is comprised and justified. (literal)
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