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Method of uncertain temporal reasoning based on IFTBN

ZHENG Kou-quan1,2, LEI Ying-jie1, WANG Rui1, XING Ya-qiong1   

  1. 1.Air Defense and Antimissile Institute, Air Force Engineering University, Xi’an 710051, China;
    2. Unit 68331 of the PLA, Huayin 714200, China
  • Online:2014-09-25 Published:2010-01-03

Abstract:

To overcome the constraint of the fuzzy Bayesian network on description and reasoning for complex and uncertain time information, the conception of the intuitionistic fuzzy Bayesian network is proposed. The intuitionistic fuzzy time series logistic and the reasoning based on the Bayesian network are combined to construct the intuitionistic fuzzy time Bayesian network (IFTBN) model. Meanwhile, the uncertain time reasoning based on IFTBN is advanced. The method can better figure out the problem of low time reasoning accuracy in situation assessment and improve the performance of shaping the proper battle sense in a military situation assessment system. The typical hypothesized battle environment validates the presented approach’s efficiency and its superiority.

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