Title :
Multiple hypothesis testing method for decision making
Author :
Wang, Xiao-Gang ; Shen, Helen C.
Author_Institution :
Coll. of Mech. Eng. & Autom., Shanghai Univ., China
Abstract :
In this paper, we present a new multiple hypothesis testing (MHT) method for single sensor to make a decision. Generalizing the work of Wang, Shen and Qian (1998) from binary hypothesis testing to multiple hypothesis testing, we partition the decision space for multiple hypotheses problems and offer more decision options to increase decision flexibility. Decision rules are derived. The classical Bayes method for multiple hypothesis problem can be viewed as one special case. Performance measure of the sensor can also be computed
Keywords :
decision theory; heuristic programming; sensor fusion; Bayes method; MHT; decision space partitioning; decision-making; multiple hypothesis testing; sensor performance measure; Computer aided manufacturing; Computer science; Decision making; Educational institutions; Intelligent robots; Intelligent sensors; Manufacturing systems; Partial response channels; Sensor systems and applications; Testing;
Conference_Titel :
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-5180-0
DOI :
10.1109/ROBOT.1999.770415
