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2023/2024
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Mathematical Analysis of Dempster-Shafer Theory

The course is not on the list Without time-table
Code Completion Credits Range
XP33MAD ZK 2 2P+0S
Garant předmětu:
Lecturer:
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Department of Cybernetics
Synopsis:

Dempster-Shafer theory (DST) presents a model for uncertainty quantification

and processing in knowledge-based systems. The belief function, which is the

main numerical characteristic of uncertainty introduced and investigated in

this theory, can be taken as a generalization of probability measure. The

model of DST will be presented. Generalizations to infinite spaces will be

also explained as well as to the case when only a fragment of the outcoming

knowledge demanded by the classical DST is at our disposal. Belief function

taking non-numerical, in particular, Boolean values will be also briefly

mentioned. The intended goal of the course is to offer a solid basis for the

practical and critical applications of DST in various fields of application

oriented toward decision making under uncertainty.

Requirements:
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Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-27
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