General Mathematics

   

Modelling Uncertain Implication Rulees Theory in Evidence

Authors: Alessio Benavoli, Luigi Chisci, Alfonso Farina, Branko Ristic

Often knowledge from human experts is expressed in the form of uncertain implication rules, such as "if A then B" with a certain degree of confidence. Therefore, it is important to include such a representation of knowledge into the process of reasoning under uncertainty.

Comments: 7 Pages.

Download: PDF

Submission history

[v1] 2015-12-04 06:56:54

Unique-IP document downloads: 185 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus