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In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems. Testing is carried out using three ...
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Aug 22, 2024 · Dempster Shafer Theory (DST) is an evidence theory, it combines all possible outcomes of the problem. Hence it is used to solve problems.
In summary, it is a methodology for evidential reasoning, manipulating uncertainty and capable of representing partial knowledge (Haenni & Lehmann, 2002; ...
In summary, it is a methodology for evidential reasoning, manipulating uncertainty and capable of representing partial knowledge (Haenni & Lehmann, 2002; ...
The origins of Dempster-Shafer theory (DST) go back to the work by Dempster (1967) who developed a system of upper and lower probabilities.
This theory is used to represent uncertainty and make decisions when there is limited information available.
Through the description of Dempster-Shafer theory (DST), a general methodology based on uncertain reasoning, it argues that traditional data mining techniques ...
The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty.
First page of “Using Dempster-Shafer Theory in Data Mining” PDF Icon. download. Download Free PDF. Download Free PDF. Using Dempster-Shafer Theory in Data ...
Through the description of Dempster-Shafer theory (DST), a general methodology based on uncertain reasoning, it argues that traditional data mining techniques ...