
Publication details
Publisher: Springer
Place: Berlin
Year: 2009
Pages: 201-209
Series: Advances in Soft Computing
ISBN (Hardback): 9783540889137
Full citation:
, "Ranking fuzzy numbers based on ideal solution", in: Fuzzy information and Engineering I, Berlin, Springer, 2009


Ranking fuzzy numbers based on ideal solution
pp. 201-209
in: Bing-yuan Cao, Cheng-yi Zhang, Tai-fu Li (eds), Fuzzy information and Engineering I, Berlin, Springer, 2009Abstract
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 the new formula of the fuzzy degree.Then we get the multiattribute matrix of fuzzy numbers. Making use of ideal solution we rank fuzzy numbers.Some numerical examples are displayed to illustrate the validity and advantage of the proposed ranking method.
Publication details
Publisher: Springer
Place: Berlin
Year: 2009
Pages: 201-209
Series: Advances in Soft Computing
ISBN (Hardback): 9783540889137
Full citation:
, "Ranking fuzzy numbers based on ideal solution", in: Fuzzy information and Engineering I, Berlin, Springer, 2009