Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/1815,
  title    = {Qualitative Possibilistic Influence Diagrams},
  author    = {Wided GuezGuez and  Nahla Ben Amor and  Khaled Mellouli},
  country   = {},
  institution={},
  abstract  = {Influence diagrams (IDs) are one of the most commonly used graphical decision models for reasoning under uncertainty. The quantification of IDs which consists in defining conditional probabilities for chance nodes and utility functions for value nodes is not always obvious. In fact, decision makers cannot always provide exact numerical values and in some cases, it is more easier for them to specify qualitative preference orders. This work proposes an adaptation of standard IDs to the qualitative framework based on possibility theory.
},
    journal   = {International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering},  volume    = {2},
  number    = {9},
  year      = {2008},
  pages     = {671 - 676},
  ee        = {http://waset.org/publications/1815},
  url       = {http://waset.org/Publications?p=21},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 21, 2008},
}