The Combination of Evidence in DempsterShafer Theory

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The Combination of Evidence in DempsterShafer Theory

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Title: The Combination of Evidence in DempsterShafer Theory


1
The Combination of Evidence in Dempster-Shafer
Theory
  • Kari Sentz
  • Ph.D. Student in Systems Science
  • Binghamton University
  • Epistemic Uncertainty Project
  • Sandia National Laboratories

2
Dempster-Shafer Theory (DST)
  • A mathematical theory of evidence
  • Probabilities on a set which is related to a set
    of situations
  • Originally defined in finite space, many recent
    efforts have taken this to the continuous domain.
  • Important elements of the theory
  • Belief and Plausibility measures
  • basic probability assignment (m)
  • Rules of Combination

3
Basic Probability Assignment
  • m P(X) ? 0,1
  • m(Ø) 0
  • m(A) expresses the proportion to which all
    available and relevant evidence supports the
    claim that a particular element of X belongs to A
  • pertains only to set A
  • does not imply any additional claims regarding
    the subsets of A
  • any additional evidence of the subsets of A, i.e.
    B ? A, the claim must be expressed by another
    value m(B)

4
Belief, Plausibility, and Basic Probability
Assignment
  • For all sets A?P(X)
  • where A-B is the cardinality of the set
    difference of A and B

5
Belief and Plausibility
  • Transformation
  • Relation Pl(A) ? Bel (A)
  • Interval Bel (A), Pl (A)

6
Set Theoretic Classification for Rules of
Combination
  • Conjunctive operation (AND, ?)
  • corresponds to the situation where all sources
    are considered reliable
  • Disjunctive operation (OR, ?)
  • corresponds to the situation where there is only
    one reliable source among many
  • Trade-off operation
  • corresponds to any situation that is not clearly
    one of the above

7
Important Primitive Calculations to
Dempster-Type Rules
8
Dempster-Type Rules
9
Averaging
  • Weighted Averaging or Mixing
  • Generalized average for probability distributions
  • Discount and Combine
  • Convolutive X-Averaging
  • Generalized average for scalar numbers

10
Simple Example
11
Relevant Calculations
12
Inagakis Rule for Simple Example
13
Disjunctive Consensus Rule for Simple Example
14
Important Points in Conflict Assessment
CONTEXT
COMBINATION OPERATION Type of Operation Algebraic
Properties Handling of conflict Advantages Disadva
ntages
EVIDENCE Type of evidence Amount Accuracy
SOURCES Type Number Reliability Dependency Conflic
t
15
Conclusions
  • Many of the criticisms of DST have rejected the
    theory on the basis of the Dempster rule of
    combination.
  • There are many ways to combine evidence in DST.
  • The critical concern for the selection of a
    combination operation is the nature of conflict
    and how it is handled by a particular combination
    rule.
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