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Learning Bayesian Network Parameters from Small Data Sets by Using Ranked Nodes Method 

İşyar, Sıla (Fen Bilimleri Enstitüsü, 2020)
Bayesian Networks (BNs) are graphical probabilistic models that offer a suitable modeling approach for decision support problems under uncertainty. Both the graphical structure and conditional probability tables of BNs can ...

A Probabılıstıc Project Control Tool For Projects Wıth Hıgh Rısks and Uncertaınty 

Sü, Yasemin (Fen Bilimleri Enstitüsü, 2020)
Project monitoring and control are essential for project success. One of the most commonly used project control methods is Earned Value Management (EVM). EVM ensures that the projects are controlled in terms of cost, time ...

Integration Of Bayesian Networks With Dematel For Causal Risk Analysis: A Supplier Selection Case Study In Automotive Industry 

Kaya, Rukiye (Fen Bilimleri Enstitüsü, 2017-07-19)
Bayesian Networks (BNs) are effective tools in analysis of causal relations in uncertain environments. BNs can make probabilistic calculations when a part of their variables are unknown. They can be constructed based on ...
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AuthorKaya, Rukiye (1)Sü, Yasemin (1)will be generated::orcid::0000-0003-0868-2352 (1)Subject
Bayesian networks (3)
A - Genel konular (1)Artificial intelligence (1)Decision support systems (1)DEMATEL (1)Earned value management (1)Gradient descent algorithm (1)Learning from data (1)Multi criteria decision making (1)Project Management (1)... View MoreDate Issued2020 (2)2017 (1)Has File(s)Yes (3)

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