Stock image for illustration purposes only - book cover, edition or condition may vary.
Combining Soft Computing and Statistical Methods in Data Analysis
Angeles Gil, Maria. Ed(S): Borgelt, Christian; Rodriguez, Gil Gonzalez; Trutschnig, Wolfgang; Lubiano, Maria Asuncion; Gil, Maria A.; Grzegorzewski,
€ 376.63
FREE Delivery in Ireland
Description for Combining Soft Computing and Statistical Methods in Data Analysis
Paperback. The first International Conference on Soft Methods in Probability and Statistics (SMPS) was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. Editor(s): Borgelt, Christian; Rodriguez, Gil Gonzalez; Trutschnig, Wolfgang; Lubiano, Maria Asuncion; Gil, Maria A.; Grzegorzewski, Przemyslaw; Hryniewicz, Olgierd. Series: Advances in Intelligent and Soft Computing (Closed). Num Pages: 662 pages, 96 black & white illustrations, biography. BIC Classification: TBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 33. Weight in Grams: 2020.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
662
Condition
New
Series
Advances in Intelligent and Soft Computing (Closed)
Number of Pages
644
Place of Publication
Berlin, Germany
ISBN
9783642147456
SKU
V9783642147456
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Combining Soft Computing and Statistical Methods in Data Analysis