DocumentCode
622627
Title
Belief function to probability: A tradeoff between easy decision-making and high risk
Author
Zhe Zhou ; Chunjie Yang ; Chenglin Wen
Author_Institution
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
fYear
2013
fDate
12-14 June 2013
Firstpage
233
Lastpage
237
Abstract
The problem of probability transformation is crucial for decision-making in Dempster-Shafer Theory of evidence. In this paper, a compromise method has been proposed for transforming basic probability assignment to probability function. The novel transformation method can acquire better balance between easy decision-making and high risk. Numerical examples are used to illustrate the rationality and efficiency of the proposed method.
Keywords
belief networks; decision making; inference mechanisms; statistical analysis; uncertainty handling; Dempster-Shafer theory; basic probability assignment; belief function; decision-making; probability function; probability transformation; Compounds; Decision making; Educational institutions; Entropy; Optimization; Probability distribution; Uncertainty; Dempster-Shafer theory; Probability transformation; decision-making; risk; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location
Hangzhou
ISSN
1948-3449
Print_ISBN
978-1-4673-4707-5
Type
conf
DOI
10.1109/ICCA.2013.6565080
Filename
6565080
Link To Document