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

Shuwei Chen, Jun Liu, Hui Wang, Juan Carlos Augusto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
Place of PublicationUnited States
PublisherIEEE Computer Society
Pages1712-1717
Number of pages6
DOIs
Publication statusPublished - 08 Sep 2014
Externally publishedYes

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Bibliographical note

Publisher Copyright: © 2013 IEEE.; 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 ; Conference date: 14-07-2013 Through 17-07-2013

Keywords

  • Belief Degree
  • Decision Making
  • Distance Measure
  • Evidential Reasoning
  • Preference

Fingerprint

Dive into the research topics of 'An evidential reasoning based approach for decision making with partially ordered preference under uncertainty'. Together they form a unique fingerprint.

Cite this