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 enable 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‐known 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.

• Publication year

  2017

• Venue

  International Journal of Intelligent Systems

• Publication date

  2017-09-13

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1002/int.21963arXiv 1709.04328
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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