Generating OWA weights using truncated distributions
This addresses a specific issue for users of OWA operators in decision-making, but it appears incremental as it builds on existing methods with a new approach.
The paper tackles the problem of determining weights for Ordered Weighted Averaging (OWA) operators in decision-making by introducing a method based on truncated distributions, which generates weights according to risk and trade-off levels represented by distribution moments, and studies the impact of criteria number.
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.