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Parameterized Rough-Fuzzy Classification Using Two Thresholds - Algorithms and Implementations Using C.
B. Venkataramana
L. Padmasree
M. Srinivasa Rao
G. Ganesan
出版
SSRN
, 2019
URL
http://books.google.com.hk/books?id=pCrizwEACAAJ&hl=&source=gbs_api
註釋
To improve the efficiency and quality of Pawlak's Rough Sets Model, Parameterized RS Model and Variable Precision RS Model are being used in technical applications. Considering the importance of Parameterized RS Model, in this paper, we propose three algorithms to index the records of a decision table with fuzzy decision attributes using two thresholds under Parameterized Rough Computing and we implement these algorithms using C.
