A group decision making model for partially ordered preference under uncertainty
- Submitting institution
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Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 531
- Type
- D - Journal article
- DOI
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10.1016/j.inffus.2014.11.001
- Title of journal
- Information Fusion
- Article number
- -
- First page
- 32
- Volume
- 25
- Issue
- -
- ISSN
- 1566-2535
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
http://eprints.mdx.ac.uk/18841/
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One important bottleneck on representing knowledge from experts into decision making systems is that experts are often unable to provide accurate preferences amongst alternatives. We developed a theory based on a belief structure to represent partially ordered preferences with belief degrees, which can cover both qualitative and quantitative aspects of the evaluation, and represent indifference or incomparability relations. Evidential reasoning preference combination is applied to generate a collective ordering of alternatives and support group decision making model based on preference combination. This is significant because it is being used to develop practical systems such as collective decision-making in emergency scenarios.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -