ATTRIBUTE SELECTION THROUGH DESCISION RULES CONSTRACTION ( algorithm FRiS - GRAD )
نویسندگان
چکیده
This paper presents a new algorithm FRiS-GRAD of simultaneous informative attributes selection and decision rule construction. This algorithm is based on Function of Rival Similarity (FRiS-function) measuring similarity of objects with standards of rival patterns. Standards or representatives are the objects of training dataset which are the most similar to all other objects of their patterns. The quality of attribute subsystems is estimated by average value of FRiS-function through all training objects. Results of algorithm FRiS-GRAD using on real physic and genetic tasks prove its usefulness and efficiency.
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