Combining Soft Computing and Statistical Methods in Data Analysis Borgelt, et al
Specifications
| Return Shipping Will Be Paid By | Buyer |
| All Returns Accepted | Returns Accepted |
| Item Must Be Returned Within | 30 Days |
| Refund Will Be Given As | Money Back |
| Level | Advanced |
| Item Length | 9.3 in |
| Item Width | 6.1 in |
| Author | Christian Borgelt |
| Format | Trade Paperback |
| Language | English |
| Subject | Engineering (General) |
| Publication Year | 2010 |
| Type | Textbook |
| Subject Area | Computers |
| Item Weight | 71.3 Oz |
| Number Of Pages | Xviii, 644 Pages |
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. 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. PROCEEDS BENEFIT OUR LOCAL LIBRARY PROGRAMS - THANK YOU! Please visit our store for more titles. https://www.ebay.com/usr/friendsofthepaloaltolibrary
Related Items
