Generating OWA weights using truncated distributions
  Ordered weighted averaging (OWA) operators have been widely used in decision
making these past few years. An important issue facing the OWA operators' users
is the determination of the OWA weights. This paper introduces an OWA
determination method based on truncated distributions that enables intuitive
generation of OWA weights according to a certain level of risk and trade-off.
These two dimensions are represented by the two first moments of the truncated
distribution. We illustrate our approach with the well-know normal distribution
and the definition of a continuous parabolic decision-strategy space. We
finally study the impact of the number of criteria on the results.
