Epistemic uncertainty modeling: The-state-of-the-art
© Springer International Publishing Switzerland 2015. This paper is about the state-of-the-art of epistemic uncertainty modeling from subjective probability (Thomas Bayes) to fuzzy measures (Michio Sugeno).
Saved in:
Main Author: | Hung T. Nguyen |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951835886&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54403 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Epistemic uncertainty modeling: The-state-of-the-art
by: Hung T. Nguyen
Published: (2018) -
Epistemic uncertainty modeling: The-state-of-the-art
by: Hung T. Nguyen
Published: (2018) -
Epistemic uncertainty modeling: The-state-of-the-art
by: Hung T. Nguyen
Published: (2018) -
Conditional Event Algebras: The State-of-the-Art
by: Hung T. Nguyen
Published: (2020) -
On evidential measures of support for reasoning with integrated uncertainty: A lesson from the ban of P-values in statistical inference
by: Hung T. Nguyen
Published: (2018)