Title :
Aggregation of fuzzy opinions under group decision making environment
Author_Institution :
Dept. of Shipping & Transp. Manage., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fDate :
6/23/1905 12:00:00 AM
Abstract :
The crux of this paper is to propose a new method for aggregating individual fuzzy opinions into an optimal group consensus. By optimality, we mean the sum of weighted dissimilarity among aggregated consensus and individual opinions is minimized. First, a new similarity measure for trapezoidal fuzzy numbers is proposed. Then, we propose an iterative algorithm for approximating the optimal consensus of expert opinions. Finally, the importance of each expert is taken into consideration in process of aggregation
Keywords :
decision theory; fuzzy set theory; minimisation; optimisation; fuzzy opinion aggregation; group decision making environment; iterative algorithm; minimization; optimal group consensus; similarity measure; trapezoidal fuzzy numbers; weighted dissimilarity sum; Aggregates; Councils; Decision making; Environmental management; Frequency; Fuzzy set theory; Humans; Iterative algorithms; Oceans; Transportation;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007275
