Combining soft computing and statistical methods in data analysis

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of random...

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Detalhes bibliográficos
Autor principal: Borgelt, Christian, 19..-
Outros Autores: González-Rodríguez, Gil, 19..- (Directeur de la publication, Éditeur intellectuel), Trutschnig, Wolfgang, 19..- (Directeur de la publication, Éditeur intellectuel), Lubiano, María Asunción, 19..- (Directeur de la publication, Éditeur intellectuel), Gil, María Ángeles (Directeur de la publication, Éditeur intellectuel), Grzegorzewski, Przemysław (Directeur de la publication, Éditeur intellectuel), Hryniewicz, Olgierd (Directeur de la publication, Éditeur intellectuel)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:1st ed. 2010.
Colecção:Advances in Intelligent and Soft Computing 77
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147470
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147456
• Combining Soft Computing and Statistical Methods in Data Analysis, Texte imprimé, 9783642147470
Descrição
Resumo:Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics
Descrição do item:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642147463
ISSN:1867-5670
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017