Title :
A simple approach to ranking a group of aggregated fuzzy utilities
Author :
Chen, Chie-Bein ; Klein, Cerry M.
Author_Institution :
Dept. of Ind. Eng., Missouri Univ., Columbia, MO, USA
fDate :
2/1/1997 12:00:00 AM
Abstract :
When ranking a large quantity of fuzzy numbers, the efficiency, accuracy, and effectiveness of the ranking process is critical. The paper considers the application of “α-cut” and “fuzzy arithmetic operations” to the fuzzy weighted average (FWA) method which can be used to rank aggregated fuzzy utilities (or generalized fuzzy numbers). The purpose of this application is to make the method easier to program and the data easier to manipulate, which results in a more practical method for fuzzy decisions
Keywords :
decision support systems; fuzzy set theory; α-cut; aggregated fuzzy utility ranking; fuzzy arithmetic operations; fuzzy decisions; fuzzy numbers; fuzzy weighted average method; generalized fuzzy numbers; ranking process; Area measurement; Arithmetic; Decision making; Fuzzy sets; Helium; Industrial engineering; Piecewise linear approximation; Piecewise linear techniques; Shape; Testing;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.552183
