2006
DOI: 10.1080/03081070500473490
|View full text |Cite
|
Sign up to set email alerts
|

Disaggregated total uncertainty measure for credal sets

Abstract: We present a new approach to measure uncertainty/information applicable to theories based on convex sets of probability distributions, also called credal sets. A definition of a total disaggregated uncertainty measure on credal sets is proposed in this paper motivated by recent outcomes. This definition is based on the upper and lower values of Shannon's entropy for a credal set. We justify the use of the proposed total uncertainty measure and the parts into which it is divided: the maximum difference of entro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 55 publications
(19 citation statements)
references
References 32 publications
0
18
0
Order By: Relevance
“…In Abellán, Klir and Moral [6], we can see that the function of the maximum entropy includes two kinds of uncertainty: conflict and non-specificity. The first one is somewhat similar to the one in PT, well quantified by the Shannon's entropy.…”
Section: Imprecise Info-gainmentioning
confidence: 99%
See 4 more Smart Citations
“…In Abellán, Klir and Moral [6], we can see that the function of the maximum entropy includes two kinds of uncertainty: conflict and non-specificity. The first one is somewhat similar to the one in PT, well quantified by the Shannon's entropy.…”
Section: Imprecise Info-gainmentioning
confidence: 99%
“…The problem lies in separating this function into others which really do measure the parts of conflict and non-specificity, respectively, and this entails the use of a credal set to represent the information. More recently, Abellán, Klir and Moral [6] presented a separation of the maximum of entropy into functions that are capable of coherently measuring the conflict and non-specificity of a credal set K on a finite variable X, as well as algorithms for facilitating its calculation in capacities of order 2 [6,18], and this may be expressed in the following way:…”
Section: Uncertainty Measures On Credal Setsmentioning
confidence: 99%
See 3 more Smart Citations