TY - GEN
T1 - Collaborative human decision fusion with uncertain individual thresholds
AU - Wimalajeewa, Thakshila
AU - Varshney, Pramod K.
PY - 2012
Y1 - 2012
N2 - In this paper, we propose a collaborative decision fusion framework when the participants of the decision making process are human agents. We consider a binary hypothesis testing problem in which a group of n people makes individual decisions on which hypothesis is true based on their own knowledge and perception. The observations at individual agents are assumed to be corrupted by a common as well as independent noise signals. Local decisions made at individual agents are sent to a moderator (fusion center) to make the final decision. We assume that the moderator has imperfect knowledge about the thresholds used by the individual decision makers and model them as random variables. The fusion performance in terms of the probability of error at the moderator is derived when the exact realizations of the individual thresholds of the agents are not available. With two human agents in the group, we derive the performance of the likelihood ratio based decision fusion strategy. For an arbitrary number of human agents n(> 2), we derive performance of decision fusion with majority rule using certain approximations.
AB - In this paper, we propose a collaborative decision fusion framework when the participants of the decision making process are human agents. We consider a binary hypothesis testing problem in which a group of n people makes individual decisions on which hypothesis is true based on their own knowledge and perception. The observations at individual agents are assumed to be corrupted by a common as well as independent noise signals. Local decisions made at individual agents are sent to a moderator (fusion center) to make the final decision. We assume that the moderator has imperfect knowledge about the thresholds used by the individual decision makers and model them as random variables. The fusion performance in terms of the probability of error at the moderator is derived when the exact realizations of the individual thresholds of the agents are not available. With two human agents in the group, we derive the performance of the likelihood ratio based decision fusion strategy. For an arbitrary number of human agents n(> 2), we derive performance of decision fusion with majority rule using certain approximations.
UR - http://www.scopus.com/inward/record.url?scp=84867650298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867650298&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867650298
SN - 9780982443859
T3 - 15th International Conference on Information Fusion, FUSION 2012
SP - 1210
EP - 1217
BT - 15th International Conference on Information Fusion, FUSION 2012
T2 - 15th International Conference on Information Fusion, FUSION 2012
Y2 - 7 September 2012 through 12 September 2012
ER -