interval operators
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M-fuzzifying geodesic interval operators

2018 ◽  
Vol 34 (6) ◽  
pp. 4269-4277
Author(s):  
Fu-Gui Shi ◽  
Kai Wang
Keyword(s):  
Interval Operators

Interval Operators

2014 ◽  
pp. 103-114
Author(s):  
C.J. Date ◽  
Hugh Darwen ◽  
Nikos A. Lorentzos
Keyword(s):  
Interval Operators

Interval Analysis Method of Fault Tree Based on Convex Model

2011 ◽  
Vol 314-316 ◽  
pp. 2569-2573
Author(s):  
Yan Ming Xiong ◽  
Jun Li ◽  
Shi Ling Li ◽  
Zhan Ping Yang
Keyword(s):  
Interval Analysis ◽  
Fault Tree ◽  
Evidence Theory ◽  
Simulation Method ◽  
Analysis Method ◽  
Convex Model ◽  
Interval Probability ◽  
Practical Applications ◽  
Interval Analysis Method ◽  
Interval Operators

A novel interval analysis method of fault tree is proposed. Evidence theory is applied to calculate the interval probability of basic events. Convex model is applied to structure the interval operators for interval analysis, and Monte-Carlo simulation method is used to calculate conditional extreme. Simulation result demonstrates that the proposed method is coinciding with the practical applications very well, and can be applied when statistical data are incomplete.

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