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Ranking the sequences of fuzzy values
- Source :
- Information Sciences. 160:41-52
- Publication Year :
- 2004
- Publisher :
- Elsevier BV, 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.
- Subjects :
- Information Systems and Management
Degree (graph theory)
business.industry
media_common.quotation_subject
Fuzzy set
Pattern recognition
Ambiguity
computer.software_genre
Fuzzy logic
Preference
Computer Science Applications
Theoretical Computer Science
Ranking
Artificial Intelligence
Control and Systems Engineering
Artificial intelligence
Data mining
business
computer
Software
Sequence (medicine)
Mathematics
media_common
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 160
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........7f62c5c8f025d003dfe9ea0c26a629cc
- Full Text :
- https://doi.org/10.1016/j.ins.2003.07.011