DocumentCode
1978296
Title
Interpreting belief functions as probabilities: a new combination rule
Author
Lin, Tsau Young T Y
Author_Institution
Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA
fYear
2003
fDate
24-26 July 2003
Firstpage
202
Lastpage
207
Abstract
Dempster and Shafer introduced the belief function to measure someone´s degree of beliefs or subjective probabilities. In IFSA´99 and NAFIPS´9, we presented two distinct proofs that a belief function is, in fact, an inner probability using the methods of functional analysis and measure theory respectively. In this paper, we continue the study and derive a new Dempster´s rule of combination based on probability theory.
Keywords
belief networks; functional analysis; fuzzy set theory; inference mechanisms; probability; uncertainty handling; Dempster rule; belief function interpretation; combination rule; functional analysis; measure theory; probability theory; subjective probabilities; Area measurement; Calculus; Computer science; Educational institutions; Functional analysis; Fuzzy set theory; Logic; Mathematics; Possibility theory; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226782
Filename
1226782
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