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I have a boolean dataset which contains course enrollment data, that means if a student has selected a particular course then it is represented by '1' in the database else '0' is used. my question is if it is possible to apply fuzzy logic to this dataset. if yes then can i use fuzzy association rule mining in order to determine the degree of interestingness in a particular course.
Of course is possible. In fuzzy logic you need to have more data values than onlye two( 0 or 1). The values between 0 and 1 prove the insteresting on a course. You need to set the rules on this spectrum of values.
I think You need to modify your dataset (boolean data is not the best type).
