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Soft Methods for Handling Variability and Imprecisionby Didier Dubois; M. Asuncion Lubiano; Henri Prade; Maria Angeles Gil; Przemyslaw Grzegorzewski; Olgierd Hryniewicz
Springer 2008; US$ 239.99Gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. This work aims to present results illustrating such trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. more...
Add to my wish listAdd to cartSynergies of Soft Computing and Statistics for Intelligent Data Analysisby Rudolf Kruse; Michael R. Berthold; Christian Moewes; María Ángeles Gil; Przemyslaw Grzegorzewski; Olgierd Hryniewicz
Springer 2012; US$ 299.99In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present... more...
Add to my wish listAdd to cartSoft Methods for Integrated Uncertainty Modellingby Jonathan Lawry; Enrique Miranda; Alberto Bugarin; Shoumei Li; Maria Angeles Gil; Przemyslaw Grzegorzewski; Olgierd Hryniewicz
Springer 2007; US$ 189.99Contains the proceedings of the 2006 International Conference on Soft Methods in Probability and Statistics (SMPS 2006). This conference provided a forum for discussion and research into the fusion of soft methods with probability and statistics, with the goal of integrated uncertainty modelling in complex systems involving human factors. more...
Add to my wish listAdd to cartCombining Soft Computing and Statistical Methods in Data Analysisby Christian Borgelt; Gil Gonzalez Rodriguez; Wolfgang Trutschnig; Maria Asuncion Lubiano; Maria A. Gil; Przemyslaw Grzegorzewski; Olgierd Hryniewicz
Springer 2010; US$ 299.99Over 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... more...
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