International Journal of Computational Intelligence Systems (Jan 2014)

Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process

  • Mats Danielson,
  • Love Ekenberg,
  • Aron Larsson,
  • Mona Riabacke

DOI
https://doi.org/10.1080/18756891.2014.853954
Journal volume & issue
Vol. 7, no. 100

Abstract

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The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actually use of the information the decision-maker is able to supply. In this paper, we propose a useful weight elicitation method for MAVT/MAUT decision making, which builds on the ideas of rank-order methods, but increases the precision by adding numerically imprecise cardinal information as well.

Keywords