Title :
A novel approach to evidence combination in battlefield situation assessment using Dezert-Smarandache theory
Author_Institution :
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´an, China
Abstract :
Situation assessment, which belongs to high level information fusion, plays an important role in military decision-making systems. In order to combine the fuzzy evidence in situation assessment, a novel approach based on Dezert-Smarandache theory(DSmT) is described in this paper. The model of fuzzy synthetic judgement is constructed to estimate the intension of force group. The characteristics of force group, including the speed, the distance and the direction, are mapped into fuzzy sets and taken as the inputs of the model. Then the results of estimation between two consecutive time moments are combined based on DSmT. Finally, a simple application is illustrated and the comparison between DSmT and Dempster-Shafer theory is given.
Keywords :
decision making; fuzzy set theory; inference mechanisms; military computing; military systems; uncertainty handling; Dempster-Shafer theory; Dezert-Smarandache theory; battlefield situation assessment; evidence combination; fuzzy evidence; fuzzy sets; fuzzy synthetic judgement; high level information fusion; military decision-making systems; Abstracts; Cognition; Force; TV; Vectors; DSmT; Fuzzy synthetic judgement; Situation assessment;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890382