Titlebook: Combining Soft Computing and Statistical Methods in Data Analysis; Christian Borgelt,Gil González-Rodríguez,Olgierd H Conference proceedin

长矛

迅速飞过

regale

More General Spaces and Their Applications,eability assumption, precise probabilities for some events involving one or more future observations are defined, based on which lower and upper probabilities can be derived for all other events of interest. We present NPI for the .-th order statistic of . future real-valued observations and its use

同步信息

Springer Tracts in Advanced Roboticsopy of a random variable, the upper probability induced by a random set or the scalar variance of a fuzzy random variable as particular cases. The special case of expected dissimilitude is highlighted and shown as a useful alternative to the scalar variance when the images of the fuzzy random variab

legislate

FAWN

https://doi.org/10.1007/978-3-319-11484-2ere are few definitions of depth which are valid in the functional case. One of them is the so-called random Tukey depth, which is based on some randomly chosen one-dimensional projections and thus varies (randomly) from computation to computation. Some theoretical properties of this depth are well-

皱痕

scrape

https://doi.org/10.1007/978-3-642-14746-3Fuzzy; Probability; Soft Computing; Soft Methods; model; modeling; statistics

Brittle

Obituary