## Search found 9 matches

Mon Mar 23, 2020 3:09 pm
Forum: SMILE
Topic: Causatily VS Correlation in Bayesian Network
Replies: 1
Views: 3002

### Causatily VS Correlation in Bayesian Network

Let’s suppose that we have two correlated variables (for example mark_in_math and mark_in_physics) but there is no causality between the two variables. For example, the level_of_the_student is a cause for these two variables. How can we model the Bayesian network containing these two variables (mark...
Fri Apr 02, 2010 10:37 pm
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence

I think that I have found the answer to my question concerning "soft evidence" in the article "The Adaptive Safety Analysis and Monitoring System". In fact, the values propageted are not the values observed but the quantified values. My question is why the propagated values are q...
Mon Mar 29, 2010 10:30 pm
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence

Thank you very much for all this information... I think that I understood the method of calculate values of the stats of nodes after the update by (soft Evidence). Made, always in the example ' Asia ' if soft evidence in node "Visit To Asia" is 0.2 in stat0 and 0.8 in stat1, the values of ...
Mon Mar 29, 2010 12:07 am
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence and Fuzzy Bayesian Network

Effectively, the evidence does not change but I find that value propagated in the inference are not the observed value (soft evidence) but rather of the other values. For example, in Network "Asia" if node "Visit To Asia" with soft evidence is 0.2 in stat0 and 0.8 in stat1 the va...
Sun Mar 28, 2010 10:32 pm
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence and Fuzzy Bayesian Network

How to calculate the values of stats of the observed node in soft evidence?
Sun Mar 28, 2010 1:17 pm
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence and Fuzzy Bayesian Network

A FBN is just a Bayesian network with variables which have fuzzy states.These states are simultaneously uncertain as well.Such a network combines the advantages of a fuzzy representation and Bayesian networks. For example, in a node "height" which contains the stats small, average and big,...
Sat Mar 27, 2010 5:30 pm
Forum: GeNIe
Topic: Consideration of soft-evidences in the case manager
Replies: 7
Views: 6484

### Soft Evidence and Fuzzy Bayesian Network

Hello, I am student on second year Master's of search "New Technology and Dedicated Computer System" and I work on Fuzzy Bayesian Network (FBN) ... I think that this axis is very similar to the notion " soft evidence ".. What you think of that? And if you can explain to me the fu...
Sat Mar 27, 2010 5:28 pm
Forum: GeNIe
Topic: Continuous variables
Replies: 23
Views: 26148

### Soft Evidence and Fuzzy Bayesian Network

Hello, I am student on second year Master's of search "New Technology and Dedicated Computer System" and I work on Fuzzy Bayesian Network (FBN) ... I think that this axis is very similar to the notion " soft evidence ".. What you think of that? And if you can explain to me the fu...
Sat Mar 27, 2010 5:19 pm
Forum: GeNIe
Topic: Soft Evidence and Fuzzy Bayesian Network
Replies: 0
Views: 12418

### Soft Evidence and Fuzzy Bayesian Network

Hello Genie&Smile-Community, I am student on second year Mas of search "New Technology and Dedicated Computer System" and I work on Fuzzy Bayesian Network (FBN) ... I think that this axis is very similar to the notion " soft evidence ".. What you think of that? And if you can...