Multi-attribute group decision making under the condition of dual uncertainty

Author

Congjun, Rao ; Jin, Peng ; Cheng, Wang ; Weidong, He

Author_Institution

Coll. of Math. & Inf. Sci., Huanggang Normal Univ., Huanggang

fYear

2008

fDate

16-18 July 2008

Firstpage

799

Lastpage

803

Abstract

The dual uncertainty information, i.e. fuzzy information and grey information in the problem of multi-attribute group decision making, are studied in this paper. Based on the theories of fuzzy mathematics and grey system, the concept of fuzzy grey number and its algorithm are defined firstly, then a model of dual uncertainty multi-attribute group decision making is proposed. Thirdly, the fuzzy grey deviation degree is defined, and the optimization algorithm of fuzzy grey deviation degree is given for solving this new model. Finally, a decision making example is given to demonstrate the feasibility and rationality of this new model.

Keywords

decision making; fuzzy set theory; grey systems; number theory; operations research; optimisation; dual uncertainty information; fuzzy grey deviation degree; fuzzy grey number; fuzzy mathematics; multiattribute group decision making; optimization algorithm; Decision making; Educational institutions; Fuzzy systems; Helium; Information science; Mathematical model; Mathematics; Optimization methods; Systems engineering and theory; Uncertainty; Dual uncertainty information; Fuzzy grey deviation degree; Fuzzy grey number; Multi-attribute group decision making;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605665

Filename

4605665