To implement the Dempster-Shafer Theory algorithm as well as check the prediction accuracy using this mentioned algorithm in the iris dataset. The actual aim of this paper is to understand and implement the Dempster-Shafer Theory using the python programming language. To reflect doubt and inaccuracies in the evidence, one might use a belief structure that is defined as a set function m that satisfies. The conjecture of this report is to get the closable prediction accuracy that can help to understand future improvement as well as the gap of the applied implementation technique
AbstractThe computational complexity of reasoning within the Dempster-Shafer theory of evidence is o...
The work described in this thesis stems from the idea that expert systems should be able to accurate...
The Dempster Shafer theory of evidence concerns the elicitation and manipulation of degrees of belie...
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data cla...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
This article addresses the performance of Dempster-Shafer (DS) theory, when it is slightly modified ...
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data cla...
Two approaches have traditionally been identified for developing artificial intelligence systems sup...
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of ev...
AbstractDempster-Shafer (DS) theory is formulated in terms of propositional logic, using the implici...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provisio...
An often mentioned obstacle for the use of Dempster-Shafer theory for the handling of uncertainty i...
AbstractThe computational complexity of reasoning within the Dempster-Shafer theory of evidence is o...
The work described in this thesis stems from the idea that expert systems should be able to accurate...
The Dempster Shafer theory of evidence concerns the elicitation and manipulation of degrees of belie...
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data cla...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
This article addresses the performance of Dempster-Shafer (DS) theory, when it is slightly modified ...
In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data cla...
Two approaches have traditionally been identified for developing artificial intelligence systems sup...
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of ev...
AbstractDempster-Shafer (DS) theory is formulated in terms of propositional logic, using the implici...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provisio...
An often mentioned obstacle for the use of Dempster-Shafer theory for the handling of uncertainty i...
AbstractThe computational complexity of reasoning within the Dempster-Shafer theory of evidence is o...
The work described in this thesis stems from the idea that expert systems should be able to accurate...
The Dempster Shafer theory of evidence concerns the elicitation and manipulation of degrees of belie...