scholarly journals Fuzzy Cognitive Map for Software Testing Using Artificial Intelligence Techniques

Author(s):  
Deane Larkman ◽  
Masoud Mohammadian ◽  
Bala Balachandran ◽  
Ric Jentzsch
2019 ◽  
Vol 14 (6) ◽  
pp. 653-669
Author(s):  
Fangyao Liu ◽  
Yayu Peng ◽  
Zhengxin Chen ◽  
Yong Shi

This research article uses a Fuzzy Cognitive Map (FCM) approach to improve an earlier proposed IQ test characteristics of Artificial Intelligence (AI) systems. The defuzzification process makes use of fuzzy logic and the triangular membership function along with linguistic term analyses. Each edge of the proposed FCM is assigned to a positive or negative influence type associated with a quantitative weight. All the weights are based on the defuzzified value in the defuzzification results. This research also leverages a dynamic scenario analysis to investigate the interrelationships between driver concepts and other concepts. Worst and best-case scenarios have been conducted on the correlation among concepts. We also use an inference simulation to examine the concepts importance order and the FCM convergence status. The analysis results not only examine the FCM complexity, but also draws insightful conclusions.


2018 ◽  
Vol 139 ◽  
pp. 82-90 ◽  
Author(s):  
Fangyao Liu ◽  
Yuejin Zhang ◽  
Yong Shi ◽  
Zhengxin Chen ◽  
Xixi Feng

Author(s):  
Juveriya Afreen

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.


2017 ◽  
Vol 16 (8) ◽  
pp. 1807-1817 ◽  
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Giorgio Mossa ◽  
Giovanni Mummolo ◽  
Rossella Verriello

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