A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
Joint Authors
Lu, Xi
Pan, Dongbo
Liu, Juan
Deng, Yong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Decision-making, as a way to discover the preference of ranking, has been used in various fields.
However, owing to the uncertainty in group decision-making, how to rank alternatives by incomplete pairwise comparisons has become an open issue.
In this paper, an improved method is proposed for ranking of alternatives by incomplete pairwise comparisons using Dempster-Shafer evidence theory and information entropy.
Firstly, taking the probability assignment of the chosen preference into consideration, the comparison of alternatives to each group is addressed.
Experiments verified that the information entropy of the data itself can determine the different weight of each group’s choices objectively.
Numerical examples in group decision-making environments are used to test the effectiveness of the proposed method.
Moreover, the divergence of ranking mechanism is analyzed briefly in conclusion section.
American Psychological Association (APA)
Pan, Dongbo& Lu, Xi& Liu, Juan& Deng, Yong. 2014. A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051532
Modern Language Association (MLA)
Pan, Dongbo…[et al.]. A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1051532
American Medical Association (AMA)
Pan, Dongbo& Lu, Xi& Liu, Juan& Deng, Yong. A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051532
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051532