A group decision making model for partially ordered preference under uncertainty
Article
Chen, S., Liu, J., Wang, H. and Augusto, J. 2015. A group decision making model for partially ordered preference under uncertainty. Information Fusion. 25, pp. 32-41. https://doi.org/10.1016/j.inffus.2014.11.001
Type | Article |
---|---|
Title | A group decision making model for partially ordered preference under uncertainty |
Authors | Chen, S., Liu, J., Wang, H. and Augusto, J. |
Abstract | In many decision making problems, the experts are not able to provide accurate preferences among the alternatives but some kind of partial orders with certain belief degrees, due to limited expertise related to the problem domain, lack of data, or time restriction and so on. To facilitate decision making in this type of situations, this paper proposes a belief structure to represent the partially ordered preferences with belief degrees, which can cover both qualitative and quantitative aspects of the evaluation and can also represent indifference and incomparability relations as well. An evidential reasoning based preference combination approach is then applied to combine the partially ordered preferences with belief degrees of the experts. The collective ordering of alternatives, which again could be a partial order, is generated based on a distance measure between pairs of preference relations. A group decision making model based on the preference combination and the collective ordering generation is then established for partially ordered preference under uncertainty. Numerical examples are provided to illustrate the rationality and effectiveness of the proposed approach. |
Research Group | Research Group on Development of Intelligent Environments |
Publisher | Elsevier |
Journal | Information Fusion |
ISSN | 1566-2535 |
Publication dates | |
Online | 11 Nov 2014 |
01 Sep 2015 | |
Publication process dates | |
Deposited | 09 Feb 2016 |
Accepted | 02 Nov 2014 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.inffus.2014.11.001 |
Language | English |
https://repository.mdx.ac.uk/item/861zq
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