An efficient algorithm for fuzzy weighted average

被引:138
作者
Lee, DH [1 ]
Park, DH [1 ]
机构
[1] KOREA UNIV,DEPT COMP SCI,CHOCHIWON 339700,CHUNG NAM,SOUTH KOREA
关键词
fuzzy number; fuzzy arithmetic; multiple criteria evaluation; fuzzy weighted average; computational efficiency;
D O I
10.1016/S0165-0114(96)00027-9
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n). (C) 1997 Elsevier Science B.V.
引用
收藏
页码:39 / 45
页数:7
相关论文
共 4 条
[1]  
BASSE S, 1991, COMPUTER ALGORITHMS
[2]  
BUCZAK A, 1994, P FUZZ IEEE, P1412
[3]   FUZZY WEIGHTED AVERAGES AND IMPLEMENTATION OF THE EXTENSION PRINCIPLE [J].
DONG, WM ;
WONG, FS .
FUZZY SETS AND SYSTEMS, 1987, 21 (02) :183-199
[4]   FUZZY WEIGHTED AVERAGE - AN IMPROVED ALGORITHM [J].
LIOU, TS ;
WANG, MJJ .
FUZZY SETS AND SYSTEMS, 1992, 49 (03) :307-315