Can anyone support me with a MATlab code for computing the reduct in the rough set?
Thanks in advance.
check the function
the input is the TEST matrix
function [lower, upper, bound,accuracy] = roughset(Test, Observation, B_indesernible)
% input:
% Test: is an MxN matrix containing the data
% Observation: is the classification of each row in the Test
% B-indesernible: is the target set.
Salam alikoum, Ahmed Hamed
Could you please share the code I couldn't download it,
Thanks in advance.
Dear friends, you can find the code in the attachment, it makes use of the positive approximation to find reduct. The main function is the rough_fwred and it calls automatically the rough_lower to compute the positive approximation. Additionally, you can find the roughset code that computes the lower and upper approximation for a given data set. Note that this code only process numeric values and doesn't process string so you may use something like one-to-one transform to process string.
Hope this help
Hello Mr Hamed,thank you for the code I will test it as soon as possible, Thanks for sharing, I thougth that I am the only one interessted on rougt set but since many people are interessted too it is really kind from you to share the source code
Baraka ALLAH fikoum
Many thanks once again
If you need further help in rough set please don't hesitate to contact me, also you can read my paper in rough set titled "maximal limited similarity based rough set model"
Baraka ALLAH fikoum
Ok Mr Hamed, Thank you so much, I really appreciate.
Best regards
Thanks Mr.Hamed i will test that code sure.If i have doubt i will mail u.
Ahmed Hamed
I used your rough set functions (the main function rough_fwred which call sub function rough_lower) to extract just relevant features but the resulted matrix after applying rough_fwred reduce the accuracy of image classification. what I did is right and a any advice how to apply rough set to extract just relevant features to improve the percentage of image classification.
thanks
thanks too much for your help
but i need from you an example to know how to enter the data
thanks
check the function
the input is the TEST matrix
function [lower, upper, bound,accuracy] = roughset(Test, Observation, B_indesernible)
% input:
% Test: is an MxN matrix containing the data
% Observation: is the classification of each row in the Test
% B-indesernible: is the target set.
Dear Djanahana Djanahana
please help me in case of i have the attached file show the table
what are
% Test: is an MxN matrix containing the data
% Observation: is the classification of each row in the Test
% B-indesernible: is the target set.
please write for me the input form please
thanks
Dear Shaaban Shaaban ·
the test are the set of features (attributes) "a,b,c,d,e,.....,m"
Observation is the column "Decision Level"
B-indesernible: will be either L or M or H
Dear Dr/ ahmed
thank you very much for your response
my email is [email protected]
pleas can you send me your email
thanks
Dear All,
You may use below link to have optimum minimal attribute reduct sets and relevant exhaustive rules.
www.redtoolkit.com
Best regards,
Masoud
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