Paper Info
Title
Joint Subjective Opinions.
Abstract
Subjective opinions generalize probability distributions by including degrees of uncertainty which reflect lack of confidence in the probabilities. This paper describes a method for computing the joint subjective opinion of two variables which can be generalized to a method for computing joint subjective opinions over multiple variables in a subjective Bayesian network. We show how the joint opinions can be marginalized to provide subjective opinions on a reduced number of variables. With an example we compare the marginalization of a joint opinion with subjective logic deduction which also produces a marginal opinion.
Year
DOI
Venue
2017
10.1007/978-3-319-67422-3_19
Lecture Notes in Artificial Intelligence
DocType
Volume
ISSN
Conference
10571
0302-9743
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Magdalena Ivanovska100.34
Audun Jøsang22612187.35
Jie Zhang31995156.26
Shuo Chen481.52