DocumentCode :
2420377
Title :
Evaluation of C4ISR system effectiveness based on Markov logic networks
Author :
Ruotong Liao ; Yanjun Liu ; Zhong Liu ; Qian Meng ; Xunhui Luo
Author_Institution :
Sci. & Technol. Lab. on Inf. Syst. Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
2312
Lastpage :
2316
Abstract :
In this paper, the ability predicates are set up for the system´s functional unit, and influence rules are built for dependent relationship in the system. With the mathematical relationship between ability indexes and weights of predicates, the factors with certain capability, uncertain performance, certain relationships, and uncertain influence in complex system are integrated together. Based on Markov Logic Networks (MLNs) framework, the effectiveness of functional units, subsystems and system are evaluated from functional units´ layer, subsystems´ layer to the top layer of systems´ layer. The evaluation combined the evaluation of static entity´s effectiveness and the evaluation reasoning under influence rules. At the end of paper, the evaluation model is examined by experiments and the results indicated some signification of the model.
Keywords :
Markov processes; analytic hierarchy process; command and control systems; C4ISR system evaluation; MLNs; Markov logic networks; ability indexes; analytic hierarchy process; complex system; evaluation reasoning; functional unit layer; predicate weights; static entity effectiveness evaluation; subsystem layer; system functional unit; system layer; Algorithm design and analysis; Artificial intelligence; Cognition; Command and control systems; Fires; Markov processes; Uncertainty; C4ISR; Effectiveness evaluation; Markov Logic Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/IEEM.2012.6838160
Filename :
6838160
Link To Document :
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