IMPROVING CLASSIFICATION PERFORMANCE OF NEURO-FUZZY CLASSIFIER BY IMPUTING MISSING DATA
نویسندگان
چکیده
منابع مشابه
On classification with missing data using rough-neuro-fuzzy systems
The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporated into logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determining the structure of the rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the roughneuro-fuzzy classifier working in...
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ژورنال
عنوان ژورنال: International Journal of Computing
سال: 2019
ISSN: 2312-5381,1727-6209
DOI: 10.47839/ijc.18.4.1619