This paper puts forward an improvement method for the combining rule of Dempster-Shafer evidence theory based on the correlation between evidences. Different from D-S theory, the correlation coefficient between evidences is introduced. By decreasing the probability evaluation of certainty and increasing the probability evaluation of uncertainty, the effect of correlative evidence to fusion result is reduced, and then we can get the fusion result which is closer to the fact. Finally, an example is provided to show the advantage of this method
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of ev...
On the base of simple emblematic example we analyze and explain the inconsistent and inadequate beha...
To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in m...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
Dempster-Shafer evidence theory is widely used in the fields of decision level information fusion. I...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
A lot of practical applications show that DS (Dempster-Shafer) theory of evidence cannot deal with h...
In Dempster-Shafer (DS) theory, multiple information from the distinct information sources are combi...
Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematica...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
Abstract. In this paper, we investigate the problem encountered by Dempster’s combination rule in vi...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
Abstract—In this paper we present an analysis of the use of Dempster’s rule of combination, its cons...
Multiple evidences based decision making is an important functionality for computers and robots. To ...
There is a problem of applying of combining rules to evidence which were got from different informat...
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of ev...
On the base of simple emblematic example we analyze and explain the inconsistent and inadequate beha...
To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in m...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
Dempster-Shafer evidence theory is widely used in the fields of decision level information fusion. I...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
A lot of practical applications show that DS (Dempster-Shafer) theory of evidence cannot deal with h...
In Dempster-Shafer (DS) theory, multiple information from the distinct information sources are combi...
Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematica...
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the ...
Abstract. In this paper, we investigate the problem encountered by Dempster’s combination rule in vi...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
Abstract—In this paper we present an analysis of the use of Dempster’s rule of combination, its cons...
Multiple evidences based decision making is an important functionality for computers and robots. To ...
There is a problem of applying of combining rules to evidence which were got from different informat...
This paper presents a new classifier combination technique based on the Dempster-Shafer theory of ev...
On the base of simple emblematic example we analyze and explain the inconsistent and inadequate beha...
To solve the invalidation problem of Dempster-Shafer theory of evidence (DS) with high conflict in m...