Fuzzy Rough Set Derived Probabilistic Variable Precision-Based Mitigation Technique for Vampire Attack in MANETs

Author(s):  
P. Balaji Srikaanth ◽  
V. Nagarajan
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Mohammed Atef ◽  
José Carlos R. Alcantud ◽  
Hussain AlSalman ◽  
Abdu Gumaei

The notions of the fuzzy β -minimal and maximal descriptions were established by Yang et al. (Yang and Hu, 2016 and 2019). Recently, Zhang et al. (Zhang et al. 2019) presented the fuzzy covering via ℐ , T -fuzzy rough set model ( FC ℐ T FRS ), and Jiang et al. (Jiang et al., in 2019) introduced the covering through variable precision ℐ , T -fuzzy rough sets ( CVP ℐ T FRS ). To generalize these models in (Jiang et al., 2019 and Zhang et al. 2019), that is, to improve the lower approximation and reduce the upper approximation, the present paper constructs eight novel models of an FC ℐ T FRS based on fuzzy β -minimal (maximal) descriptions. Characterizations of these models are discussed. Further, eight types of CVP ℐ T FRS are introduced, and we investigate the related properties. Relationships among these models are also proposed. Finally, we illustrate the above study with a numerical example that also describes its practical application.


2014 ◽  
Vol 236 ◽  
pp. 58-72 ◽  
Author(s):  
Yanqing Yao ◽  
Jusheng Mi ◽  
Zhoujun Li

2013 ◽  
Vol 411-414 ◽  
pp. 1228-1232
Author(s):  
Xi Wen Qin ◽  
Han Lin ◽  
Xiao Gang Dong ◽  
Hong Yu Zhang

In this paper, facial expression recognition as the starting point, it is extracted the mixing characteristics of the facial expression, including geometric and texture features. It can solve the problem of the collection contains the degree based on Variable Precision Fuzzy Rough Set, It could improved the accuracy of facial expression recognition using the method, thus making the facial expression recognition process more accurate and efficient.


2021 ◽  
pp. 170-184
Author(s):  
Enfan Zhou ◽  
Jun Ma ◽  
Lingfei Zhang ◽  
Bohang Chen

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