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Ranking the sequences of fuzzy values

Authors :
Lee, Seungsoo
Lee, Kwang H.
Lee, Doheon
Source :
Information Sciences. Mar2004, Vol. 160 Issue 1-4, p41. 12p.
Publication Year :
2004

Abstract

When ranking fuzzy values, there is an ambiguity in selecting the most-preferred ranked sequence from a collection of candidate sequences because every sequence has a possibility to which the preference relations in the sequence are correct. In this paper, we propose a method for ranking the sequences of fuzzy values that assigns a preference degree to each ranked sequence. Each preference degree indicates the relative preference of the given sequence over the other sequences. The proposed method gives information regarding which sequence could be classified as the most-preferred sequence and which sequences as alternatives. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00200255
Volume :
160
Issue :
1-4
Database :
Academic Search Index
Journal :
Information Sciences
Publication Type :
Periodical
Accession number :
12379827
Full Text :
https://doi.org/10.1016/j.ins.2003.07.011