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A generalization of the Dempster-Schafer (D-S) theory to deal with fuzzy sets is described in which the belief and plausibility functions are treated as ...
Mar 27, 2013 · In this paper, we describe a generalized theory of evidence where the degree of belief in a fuzzy set is obtained by minimizing the probability ...
The Dempster-Shafer theory has been shown to solve a special case of this problem where A, and B are crisp sets [4]. Hence, we will briefly describe the basics ...
With the desire to manage imprecise and vague information in evidential reasoning, several attempts have been made to generalize the Dempster–Shafer (D–S) ...
Oct 22, 2024 · In this paper, we describe a generalized theory of evidence where the degree of belief in a fuzzy set is obtained by minimizing the probability ...
In this paper, we describe a generalized theory of evidence where the degree of belief in a fuzzy set is obtained by minimizing the probability of the fuzzy set ...
A generalization of the Dempster-Schafer (D-S) theory to deal with fuzzy sets is described in which the belief and plausibility functions are treated as ...
The Dempster-Shafer theory has been shown to solve a special case of this problem where A, and B are crisp sets [4]. Hence, we will briefly describe the basics ...
In order to combine bodies of evidence that may contain vague information, Dempster's combination rule was extended to fuzzy sets in the evidential reasoning.
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A mathematical theory of evidence proposed by Shafer3 used these nonaddi- tivity measures for the information content of evidence. This theory is then usu- ally ...