Inference and learning in fuzzy bayesian networks

2004 ◽  
Author(s):  
J.F. Baldwin ◽  
E. Di Tomaso
Keyword(s):  
Bayesian Networks ◽  
Fuzzy Bayesian Networks

Tunnel collapse risk assessment based on multistate fuzzy Bayesian networks

2018 ◽  
Vol 34 (8) ◽  
pp. 1646-1662 ◽  
Author(s):  
Jinglai Sun ◽  
Baoguo Liu ◽  
Zhaofei Chu ◽  
Lei Chen ◽  
Xin Li
Keyword(s):  
Risk Assessment ◽  
Bayesian Networks ◽  
Tunnel Collapse ◽  
Fuzzy Bayesian Networks

scholarly journals Modeling customer satisfaction in microfinance sector: A fuzzy Bayesian networks approach

2019 ◽  
Vol 11 ◽  
pp. 184797901986953
Author(s):  
Youssef Lamrani Alaoui ◽  
Mohamed Tkiouat
Keyword(s):  
Customer Satisfaction ◽  
Bayesian Networks ◽  
Financial Services ◽  
Uncertain Information ◽  
Microfinance Institutions ◽  
Effect Analysis ◽  
Banking Services ◽  
Complex Interactions ◽  
Cause And Effect Analysis ◽  
Fuzzy Bayesian Networks

Microfinance refers to the provision of financial services like saving, microcredit, and insurance to the poor who have limited access to traditional banking services with the aim of reducing their poverty. However, in the last decade, the literature stresses that the microfinance institutions focus more on their profit rather than the customer. Numerous methods have been used to model customer satisfaction in microfinance. However, a large majority of these methods is unable to take into account complex interactions and dependencies between variables. They may also find difficulties in handling limited and uncertain knowledge. The objective of this article is to model the effect of microfinance-lending process operations on overall customer satisfaction. We managed to develop a fuzzy Bayesian networks model; such an approach is widely required for modeling complex systems characterized by sparse or uncertain information as well as for conducting the cause and effect analysis.

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