Liu Yongxiang, Li Xiang, Fu Yaowen, Zhuang Zhaowen . A PARLEY-TYPE TEMPORAL-SPATIAL GROUP DECISION-MAKING APPROACH OF DATA FUSION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1225-1230.
Citation:
Liu Yongxiang, Li Xiang, Fu Yaowen, Zhuang Zhaowen . A PARLEY-TYPE TEMPORAL-SPATIAL GROUP DECISION-MAKING APPROACH OF DATA FUSION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1225-1230.
Liu Yongxiang, Li Xiang, Fu Yaowen, Zhuang Zhaowen . A PARLEY-TYPE TEMPORAL-SPATIAL GROUP DECISION-MAKING APPROACH OF DATA FUSION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1225-1230.
Citation:
Liu Yongxiang, Li Xiang, Fu Yaowen, Zhuang Zhaowen . A PARLEY-TYPE TEMPORAL-SPATIAL GROUP DECISION-MAKING APPROACH OF DATA FUSION[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1225-1230.
Weighted method of data fusion is a simple and effective method, and the weighted coefficient determines the effect of fusion. In this paper, an entropy function is provided to measure fusion information, which relates the uncertainty of data, the consensus among sensors and the performance parameters of every sensor. Then a weighted fusion method based on entropy function is developed. Considering the practical IR/mmW multisensor system , a parley temporal-spatial group decision-making fusion algorithm can...
E. Waltz, Multisensor Data Fusion, Boston, MA, Artech House, 1990, Ch3,4.[2]M. Stone, The opinion pooling, Annals of Statistics, 1973, 32(6), 1339 1342.[3]M.H. DeGroot, Reaching a consensus, Journal of the American Statistical Association, 1974,69(3), 118-123.[4]Lang Hong, Centralized/distributed recursive algorithms for ftsion by D-S techniques with application to target indentification, IEEE Trans. on AES, 1992, AES-28(4), 1256 1264.
DownLoad: