Volume 7, Issue Supplement 1, January 2014, Pages 105 - 112
Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
Authors
Mats Danielson, Love Ekenberg, Aron Larsson, Mona Riabacke
Corresponding Author
Mats Danielson
Received 16 December 2012, Accepted 11 July 2013, Available Online 1 January 2014.
- DOI
- 10.1080/18756891.2014.853954How to use a DOI?
- Keywords
- Multi-criteria decision analysis, imprecision, criteria weights, elicitation
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Mats Danielson AU - Love Ekenberg AU - Aron Larsson AU - Mona Riabacke PY - 2014 DA - 2014/01/01 TI - Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process JO - International Journal of Computational Intelligence Systems SP - 105 EP - 112 VL - 7 IS - Supplement 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2014.853954 DO - 10.1080/18756891.2014.853954 ID - Danielson2014 ER -