Title :
An optimal aggregation method for fuzzy opinions of group decision
Author_Institution :
Dept. of Shipping & Transp. Manage., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fDate :
6/21/1905 12:00:00 AM
Abstract :
A method is proposed for aggregating individual fuzzy opinions into an optimal group consensus. By optimality, we mean the relative similarity between consensus and each individual opinion equals its aggregation weight. First, a similarity measure for trapezoidal fuzzy numbers is proposed. Then, we propose an iterative procedure for approximating the optimal consensus of expert opinions. Finally, the importance of each expert is taken into consideration in the process of aggregation
Keywords :
aggregation; decision theory; fuzzy set theory; iterative methods; expert opinions; group decision; individual fuzzy opinions; optimal aggregation method; optimal group consensus; relative similarity; similarity measure; trapezoidal fuzzy numbers; Aggregates; Decision making; Frequency; Fuzzy set theory; Humans; Iterative algorithms; Oceans; Sea measurements; Transportation;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.823219
