There are a lot of techniques for finding similarity for of texts/objects.
ML techniques as well as the usage of DB technology. Also, Distance measures as well as Fuzzy logic and RST can be used for good results. What do you think is better the Fuzzy logic algorithm or the RST? Also there is Fuzzy-Rough sets algorithms,,,,
Please share your own experience.
RST is always better for finding similarity and clustering.Fuzzy logic can then be used for classification
Sorry, but what means RST? Could you unfold this abbreviation? :-)
Actually Bruno, RST stands for rough set theory.... :)
Now I'd like to know your opinion for using RST other than the fuzzy logic.....
What's your experience?
Hemlata, Yes I believe that rough sets can be used for similarity and clustering, but as classification as well. Remember classification is also a part of RST according to the accuracy and the quality % within the data sets....
What makes the difference between rough sets and fuzzy other than the membership function?
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