| 书目名称 | Combining Soft Computing and Statistical Methods in Data Analysis |
| 编辑 | Christian Borgelt,Gil González-Rodríguez,Olgierd H |
| 视频video | |
| 概述 | Recent research on Soft Methods in Probability and Statistics.Results of the 5th International Conference on Soft Methods in Probability and Statistics (SMPS‘2010) held in Oviedo and Mieres , Asturias |
| 丛书名称 | Advances in Intelligent and Soft Computing |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Conference proceedings 2010 |
| 关键词 | Fuzzy; Probability; Soft Computing; Soft Methods; model; modeling; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-14746-3 |
| isbn_softcover | 978-3-642-14745-6 |
| isbn_ebook | 978-3-642-14746-3Series ISSN 1867-5662 Series E-ISSN 1867-5670 |
| issn_series | 1867-5662 |
| copyright | Springer Berlin Heidelberg 2010 |
发表于 2025-3-21 20:01:35
