Projection method for multiple attribute decision making with uncertain attribute weights under intuitionistic fuzzy environment

Author

Luo, Yujun

Author_Institution

Dept. of Comput. Sci. & Math., North Sichuan Med. Coll., Nanchong, China

fYear

2009

fDate

17-19 June 2009

Firstpage

2945

Lastpage

2948

Abstract

The multiple attribute decision making problems with incomplete attribute weights under intuitionistic fuzzy environment are investigated. Some basic concepts related to the theory of intuitionistic fuzzy set, including the intuitionistic fuzzy weighted averaging (IFWA) operator, score function, and accuracy function, are reviewed. Based on the concept of projection, some optimization models, by which the attribute weights can be derived, are established. Then the alternatives are ranked, and the most desirable one is selected according to the score and accuracy degree of the collective intuitionistic fuzzy attribute values aggregated by IFWA operator. Finally, the feasibility of the proposed approach is verified by an illustrative example.

Keywords

decision making; fuzzy set theory; optimisation; accuracy function; intuitionistic fuzzy environment; intuitionistic fuzzy set; intuitionistic fuzzy weighted averaging operator; multiple attribute decision making; optimization models; projection method; score function; uncertain attribute weights; Computer science; Decision making; Educational institutions; Fuzzy set theory; Fuzzy sets; Information processing; Mathematics; Optimization methods; Uncertainty; Incomplete Attribute Weights; Intuitionistic Fuzzy Set; Multiple Attribute Decision Making; Optimization Model; Projection Method;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5191817

Filename

5191817