Uncertainty Modelling in Data Science

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Destercke, Sébastien (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Denoeux, Thierry (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gil, María Ángeles (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Grzegorzewski, Przemyslaw (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hryniewicz, Olgierd (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Advances in Intelligent Systems and Computing, 832
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17-21, 2018. It...

Πίνακας περιεχομένων:

• Chapter 1. Imprecise statistical inference for accelerated life testing data: imprecision related to the log-rank test (Abdullah Ahmadini)
• Chapter 2. Descriptive comparison of the rating scales through different scale estimates. Simulation-based analysis (Irene Arellano)
• Chapter 3. Central Moments of a Fuzzy Random Variable using the Signed Distance: a Look towards the Variance (Redina Berkachy)
• Chapter 4. On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency (Michal Burda) etc.