Title :
Study of fuzzy integral decision fusion algorithm
Author :
Hu, Xuehai ; Wang, Ahoujun ; Huang, Jianguo ; Qiu, Yougang
Author_Institution :
Autom. Eng. Sch., Univ. of Electron. Sci. & Technol., Chengdu, China
Abstract :
The distributed target detection fusion system with fuzzy integral algorithm can enhance the system recognition performance under complex environment. This paper studies decision-making systems based on fuzzy integral fusion method. At the same time, the specific effect to systems using different fuzzy integral density definitions and choosing different sensors is under discussion. The study suggests that: the use of fuzzy integral algorithm and the reasonable definition of fuzzy integral density, can improve system accuracy and robustness. This research has certain reference value for the study of such issues.
Keywords :
decision making; fuzzy set theory; integral equations; object detection; sensor fusion; decision making systems; distributed target detection fusion system; fuzzy integral algorithm; fuzzy integral decision fusion algorithm; fuzzy integral density; Classification algorithms; Cognition; Decision making; Object detection; Sensor fusion; Sensor systems; Fuzzy integral; data fusion; distributed; integrated density;
Conference_Titel :
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location :
Hong Kong and Macau
Print_ISBN :
978-1-4244-8375-4
Electronic_ISBN :
978-1-4244-8374-7
DOI :
10.1109/ICAL.2010.5585390