[rules-users] Extracting management information from the content of the rules

[Salina Fung/UFL - ICIL]

Hi,

Mine is the case:
when
>   $p : Product( color == "red", country == "Italy", wt > 10 )
> then
>   $p.setPrice( wt * 2.75 )
> end  

when
>   $p : Product( color == "red", country == "Italy", wt > 20 )
> then
>   $p.setPrice( wt * 2.00 )
> end  


Then from time to time, will want to find out the rules that e.g. offer
price less than some price for product from a country and within some
wt. range.

Thanks
Salina


----- Original Message -----
From: Davide Sottara
[mailto:dsotty at gmail.com]
To: rules-users at lists.jboss.org
Sent: Mon, 02 Jan
2012 19:23:51 +0800
Subject: Re: [rules-users] Extracting management
information from the content of	the rules


> Out of curiosity, I'd like to better understand the requirements. Are we
> talking about rules of the form:
> 
> when
>   Product( color == "red", country == "Italy", discount > 10 )
> then
>  ...
> end
> 
> i.e., the discount is stored in some field and constrained by the rules?
> 
> or
> 
> when
>   $p : Product( color == "red", country == "Italy", $x : price )
> then
>   $p.setPrice( $x * 0.75 )
> end  
> 
> More properly, the questions are : 1) is the discount given or computed? 2)
> is it available (or can be stored) in some data field or is it "transient" ?
> 
> The RHS of a rule is a sort of "black box" which is more difficult to reason
> against, so you'll probably need some kind of reified discount:
> 
> when
>   $p : Product( color == "red", country == "Italy" )
> then
>   insertLogical( new Discount( $p, 0.75 ) );
> end  
> 
> -----------------------------------------------------------------------------------------------------------------
> 
> This said, there is a final, more important question. Are you interested in
> a report describing the 
> characteristics of the objects which were discounted?
> For example, you have 1000 discounted products in your system and you want
> to find a "POSTERIOR"
> correlation between their features and the discount they got. This is the
> kind of problems that 
> are solved by data mining techniques, e.g. CARTs (classification and
> regression trees), Association Rules (not the rules we're used to !!) or
> Clustering algorithms
> 
> If instead you want to reason abstractly, using the definitions contained in
> the rules' LHSs to understand which classes of objects COULD receive some
> kind of discount, that's a kind of "semantic" problem and I guess that some
> tableau-like technique could help.
> 
> This to say that, according to the exact type of "reporting" that you want
> to build, the "rules" you'd have to write might vary quite a lot.
> 
> Best
> Davide
> 
> --
> View this message in context:
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> Sent from the Drools: User forum mailing list archive at Nabble.com.
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