DocumentCode
3267401
Title
Triangular Fuzzy Number Method for Fuzzy Multi-sensor Information Fusion
Author
Dong, Jiuying
Author_Institution
Coll. of Inf. Technol., Jiangxi Univ. of Finance & Economic, Nanchang, China
Volume
1
fYear
2009
fDate
6-7 June 2009
Firstpage
162
Lastpage
165
Abstract
The triangular fuzzy numbers are used to represent to the object recognition problem, a new fusion method for multi-sensor data is proposed from the decision making theory. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the standard deviations for all attributes, the weights of the attributes are obtained objectively. Hence, the result of recognition for the unknown object is given by the overall distance. This method can avoid the subjectivity of selecting attributes weights and be performed on computer easily. The simulated example verifies the feasibility and practicability of the proposed method.
Keywords
decision making; fuzzy set theory; matrix algebra; object recognition; optimisation; sensor fusion; decision making theory; distance matrix; fuzzy multisensor information fusion; object recognition problem; optimization problem; standard deviation maximization; triangular fuzzy number method; Bayesian methods; Computational intelligence; Data acquisition; Databases; Decision making; Educational institutions; Object recognition; Sensor fusion; Sensor phenomena and characterization; Signal processing; multi-sensor information fusion; object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.183
Filename
5231165
Link To Document