Probabilistic Analysis of Belief Functions
By: by Ivan Kramosil
Series: International Federation for Systems Research International Series on Systems Science and Engineering, 1574-0463 -- 16; IFSR international series on systems science and engineering -- 16.
Publisher: Springer US; Imprint; Springer
Published: 2001
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 228
ISBN-13: 9781461505877
Description: This volume is a highly theoretical and mathematical study analyzing the notion and theory of belief functions, also known as the Dempster-Shafer theory, from the point of view of the classical Kolmogorov axiomatic probability theory. In other terms, the theory of belief functions is taken as an interesting, non-traditional application of probability theory, and the standard methodology of probability theory, and measure theory in general, is applied in order to arrive at some new and perhaps interesting generalizations and results not accessible within the classical combinatorial framework of the theory of belief functions (Dempster-Shafer theory) over finite spaces. The relation to great systems and their theory seems to be very close and should become clear from the first two chapters of the book.