Results 1  10
of
1,053
Algorithms for dempstershafer theory
 Algorithms for Uncertainty and Defeasible Reasoning
, 2000
"... The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90] ..."
Abstract

Cited by 20 (3 self)
 Add to MetaCart
The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90
Qualitative DempsterShafer Theory
, 1993
"... This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data and t ..."
Abstract

Cited by 6 (3 self)
 Add to MetaCart
This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data
Updating the Evidence in the DempsterShafer Theory
 Informatica
, 1999
"... Abstract. An algorithm for updating the evidence in the Dempster–Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the DempsterShafer theory. The algorithm allows to ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
Abstract. An algorithm for updating the evidence in the Dempster–Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the DempsterShafer theory. The algorithm allows
Combination of evidence in DempsterShafer theory
, 2002
"... DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require a ..."
Abstract

Cited by 81 (2 self)
 Add to MetaCart
DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require
DempsterShafer theory of evidence
, 1994
"... comprehensive comparison between generalized incidence calculus and the ..."
A defect in DempsterShafer theory
 InProceedings of the Tenth Conference on Uncertainty in Arti cial Intelligence
, 1994
"... By analyzing the relationships among chance, weight of evidence and degree ofbelief, it is shown that the assertion \chances are special cases of belief functions " and the assertion \Dempster's rule can be used to combine belief functions based on distinct bodies of evidence " togeth ..."
Abstract

Cited by 28 (20 self)
 Add to MetaCart
; together lead to an inconsistency in DempsterShafer theory. To solve this problem, some fundamental postulates of the theory must be rejected. A new approach for uncertainty management is introduced, which shares many intuitive ideas with DS theory, while avoiding this problem. 1
A GENERALIZATION OF THE DEMPSTERSHAFER THEORY
"... The DempsterShafer theory gives a solid basis for reasoning applications characterized by uncertainty. A key feature of the theory is that propositions are represented as subsets of a set which represents a hypothesis space. This power set along with the set operations is a Boolean algebra. Can we ..."
Abstract
 Add to MetaCart
The DempsterShafer theory gives a solid basis for reasoning applications characterized by uncertainty. A key feature of the theory is that propositions are represented as subsets of a set which represents a hypothesis space. This power set along with the set operations is a Boolean algebra. Can we
DempsterShafer Theory Approach to FMEA
"... Abstract Failure Mode and Effects Analysis (FMEA) technique is a group based activity to prioritize risk. Often times there are issues with aggregating team member's responses or ratings. Literature suggests several means to aggregate these responses computing average values, using group cons ..."
Abstract
 Add to MetaCart
. The aforementioned aggregation techniques have been used with very limited success in such uncertain instances. This paper will propose a method that utilizes DempsterShafer Theory (DST) to overcome these issues. It will be shown that DST will allow unbiased aggregation of team member's ratings using rules
ON BELIEF FUNCTIONS (Present State of DempsterShafer Theory)
"... Abstract. The present state of development of DempsterShafer theory is surveyed and its place among theories of dealing with uncertainty in AI is discussed. No knowledge of the theory is assumed. 1 ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
Abstract. The present state of development of DempsterShafer theory is surveyed and its place among theories of dealing with uncertainty in AI is discussed. No knowledge of the theory is assumed. 1
Sensor Fusion Using DempsterShafer Theory
 in Proceedings of IEEE Instrumentation and Measurement Technology Conference
, 2002
"... Contextsensing for contextaware HCI challenges the traditional sensor fusion methods with dynamic sensor configuration and measurement requirements commensurate with human perception. The DempsterShafer theory of evidence has uncertainty management and inference mechanisms analogous to our human ..."
Abstract

Cited by 74 (2 self)
 Add to MetaCart
Contextsensing for contextaware HCI challenges the traditional sensor fusion methods with dynamic sensor configuration and measurement requirements commensurate with human perception. The DempsterShafer theory of evidence has uncertainty management and inference mechanisms analogous to our human
Results 1  10
of
1,053