PROCEEDINGS IPMU '08
Possibilistic Influence Diagrams Using Information Fusion
Wided Guezguez, Nahla Ben Amor.
This paper proposes a new approach
for decision making under uncertainty
based on influence diagrams
and possibility theory. The so-called
possibilistic influence diagrams extend
standard influence diagrams in
order to avoid difficulties attached
to the specification of both probability
distributions relative to chance
nodes and utilities relative to value
nodes. In fact, generally, it is easier
for experts to quantify dependencies
between chance nodes via possibility
distributions and to provide a set of
numerical utilities and a possibility
distribution relative to each consequence
and each utility.
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