Title :
A new method based on incomplete fuzzy preference relation for multi-objective decision-making
Author_Institution :
Dept. of Inf., Liaoning Police Acad., Dalian, China
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;
Conference_Titel :
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5514-0
DOI :
10.1109/EDT.2010.5496572
