International Journal of Computational Intelligence Systems

Volume 7, Issue sup1, 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
Available Online 9 January 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 100
Pages
105 - 112
Publication Date
2017/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2014.853954How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Mats Danielson
AU  - Love Ekenberg
AU  - Aron Larsson
AU  - Mona Riabacke
PY  - 2017
DA  - 2017/01
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  - sup1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.853954
DO  - https://doi.org/10.1080/18756891.2014.853954
ID  - Danielson2017
ER  -