An evidential reasoning based approach for decision making with partially ordered preference under uncertainty

Chen, Shuwei, Liu, Jun, Wang, Hui and Augusto, Juan Carlos (2013) An evidential reasoning based approach for decision making with partially ordered preference under uncertainty. In: International Conference on Machine Learning and Cybernetics (ICMLC2013), 14-17 July, 2013, Tianjin, China.

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Abstract

In many cases, decision making is to order alternatives and select one or a few among the top of the ranking based on
decision makers’ preferences. Due to the complexity and
flexibility of reality, decision makers usually can only provide partially ordered preferences with certain belief degrees. In order to deal with this kind of decision making problem, we introduce in this paper the use a belief structure for representing the involved partially ordered preferences with belief degrees, then a preference combination approach based on evidential reasoning is proposed to combine the preferences from different decision makers. The final ranking of alternatives is generated based on a distance measure between pairs of preference relations. An illustrative example is provided to show the rationality of the proposed method.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
A. > School of Science and Technology > Computer Science
Item ID: 13004
Useful Links:
Depositing User: Prof. Juan Carlos Augusto
Date Deposited: 10 Feb 2014 06:28
Last Modified: 13 Oct 2016 14:30
URI: https://eprints.mdx.ac.uk/id/eprint/13004

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