scholarly journals A Novel Fault Detection Model Based on Atanassov’s Interval-Valued Intuitionistic Fuzzy Sets, Belief Rule Base and Evidential Reasoning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 4551-4567
Author(s):  
Qianlei Jia ◽  
Jiayue Hu ◽  
Weiguo Zhang
Keyword(s):  
Fault Detection ◽  
Fuzzy Sets ◽  
Intuitionistic Fuzzy Sets ◽  
Evidential Reasoning ◽  
Rule Base ◽  
Detection Model ◽  
Model Based ◽  
Intuitionistic Fuzzy ◽  
Belief Rule Base ◽  
Interval Valued

scholarly journals Dynamic Air Target Threat Assessment Based on Interval-Valued Intuitionistic Fuzzy Sets, Game Theory, and Evidential Reasoning Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Ruojing Zhao ◽  
Fengbao Yang ◽  
Linna Ji ◽  
Yongqiang Bai
Keyword(s):  
Game Theory ◽  
Fuzzy Sets ◽  
Threat Assessment ◽  
Intuitionistic Fuzzy Sets ◽  
Evidential Reasoning ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy ◽  
Combat Environment ◽  
Interval Valued ◽  
Assessment Results

In order to reduce the uncertainty of target threat assessment results and improve exact target assessment in the complicated and changeable air combat environment, a novel method based on the combination of interval-valued intuitionistic fuzzy sets (IVIFSs), game theory, and evidential reasoning methodology is proposed in this paper. First, the imprecise and fuzzy information of battlefield air target is expressed by IVIFS. Second, the optimal index weight is determined by the interval intuitionistic fuzzy entropy and game theory. And the time series weight is calculated by the inverse Poisson distribution method. Then, the target evaluation information at different times is dynamically fused through an evidential reasoning algorithm. Finally, the accuracy function is applied to obtain the threat ranking of all the targets. A case of the threat assessment of air targets is provided to demonstrate the implementation process of the method proposed in this paper. Simulation experiments show that in a rapidly evolving combat environment, this algorithm can effectively reduce the uncertainty of target threat assessment results. It provides us with a useful way for target threat assessment based on interval-valued intuitionistic fuzzy sets, game theory, and evidential reasoning methodology.

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