A new method based on incomplete fuzzy preference relation for multi-objective decision-making

Author

Duan, Lihua

Author_Institution

Dept. of Inf., Liaoning Police Acad., Dalian, China

Volume

1

fYear

2010

fDate

17-18 April 2010

Firstpage

315

Lastpage

318

Abstract

A new fuzzy method for multi-objective decision-making is proposed, in order to resolve the incomplete fuzzy preference relation problems, and the specific algorithm is presented on the basis of the fuzzy consistent relation. To decrease the subjectivity in the process of decision-making, it is discussed how to do with the appropriate weights and how to optimize multi-objective sorting. It is concluded that it is feasible to apply the fuzzy consistent relation to multi-objective decision-making analysis, and the improved fuzzy method is workable.

Keywords

decision making; decision theory; fuzzy set theory; optimisation; sorting; fuzzy consistent relation; fuzzy method; incomplete fuzzy preference relation; multiobjective decision-making; multiobjective sorting; Biomedical engineering; Decision making; Delta modulation; Ecosystems; Feedback; Fuzzy set theory; Humans; Sorting; Uncertainty; fuzzy consistent matrix; incomplete fuzzy preference relation; multi-objective decision-making; weights;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-5514-0

Type

conf

DOI

10.1109/EDT.2010.5496572

Filename

5496572