The transferable belief model
| Type of publication: | Article |
| Citation: | smets94 |
| Journal: | Artificial intelligence |
| Volume: | 66 |
| Number: | 2 |
| Year: | 1994 |
| Pages: | 191--234 |
| Publisher: | Springer |
| Abstract: | We describe the transferable belief model, a model for representing quantified beliefs based on belief functions. Beliefs can be held at two levels: (1) a credal level where beliefs are entertained and quantified by belief functions, (2) a pignistic level where beliefs can be used to make decisions and are quantified by probability functions. The relation between the belief function and the probability function when decisions must be made is derived and justified. Four paradigms are analyzed in order to compare Bayesian, upper and lower probability, and the transferable belief approaches. |
| Userfields: | date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, project={fremdliteratur}, |
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