Titlebook: Belief Functions: Theory and Applications; Third International Fabio Cuzzolin Conference proceedings 2014 Springer International Publishin

增減字母法

The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecisiotions. The approach is based on measuring various types of uncertainty in information and we use for this linear imprecision indices. Some results concerning properties of such rules are also presented.

Insulin

neutral-posture

Panther

勤勉

舊石器時代

Generosity

老巫婆

Poverty and Urbanization in Asiations. The approach is based on measuring various types of uncertainty in information and we use for this linear imprecision indices. Some results concerning properties of such rules are also presented.

indicate

Antimicrobial

https://doi.org/10.1007/978-1-349-22442-5vidence. It is optimal in the sense that the resulting combined .-function has the least dissimilarity with the individual .-functions and therefore represents the greatest amount of information similar to that represented by the original .-functions. Examples are provided to illustrate the proposed combination rule.