TY - JOUR
T1 - An efficient algorithm for fuzzy weighted average
AU - Lee Hoon, Dong
AU - Park, Daihee
N1 - Funding Information:
Several approaches for information fusion have been proposed in the literature. Among them are probability theory, Dempster-Shafer theory, neural networks and fuzzy set theory \[2\]. However, since the fusion of information is often made more *Corresponding author. Supported in part by KOSEF ( # 951-0906-093-z). 1 Supported in part by KOSEF (#951-0903-047-z).
PY - 1997
Y1 - 1997
N2 - 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).
AB - 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).
KW - Computational efficiency
KW - Fuzzy arithmetic
KW - Fuzzy number
KW - Fuzzy weighted average
KW - Multiple criteria evaluation
UR - http://www.scopus.com/inward/record.url?scp=0031124830&partnerID=8YFLogxK
U2 - 10.1016/s0165-0114(96)00027-9
DO - 10.1016/s0165-0114(96)00027-9
M3 - Article
AN - SCOPUS:0031124830
SN - 0165-0114
VL - 87
SP - 39
EP - 45
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 1
ER -