Ranking fuzzy numbers based on ideal solution
Zhong-xing Wang () and
Ya-ni Mo
Additional contact information
Zhong-xing Wang: Guang Xi University
Ya-ni Mo: Guang Xi University
Fuzzy Information and Engineering, 2010, vol. 2, issue 1, 27-36
Abstract:
Abstract In this paper, we consider the factor of the decision maker’s risk preference, and define the left and right deviation degree respectively. Besides, we propose a new formula of the fuzzy degree. Then we get the multiattribute matrix of fuzzy numbers. We rank fuzzy numbers with the help of an ideal solution. Some numerical examples are displayed to illustrate the validity and advantages of the proposed ranking method.
Keywords: Fuzzy number; Ranking; Ideal solution; Fuzzy degree; Left and right deviation degree (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s12543-010-0035-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:fuzinf:v:2:y:2010:i:1:d:10.1007_s12543-010-0035-8
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/12543
DOI: 10.1007/s12543-010-0035-8
Access Statistics for this article
More articles in Fuzzy Information and Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().