Rough Inclusion Functions and Similarity Indices
نویسندگان
چکیده
Rough inclusion functions are mappings considered in the rough set theory with which one can measure the degree of inclusion of a set in a set (and in particular, the degree of inclusion of an information granule in an information granule) in line with rough mereology. On the other hand, similarity indices are mappings in cluster analysis with which one can compare clusterings, and clustering methods with respect to similarity. In this article we investigate the relationships between rough inclusion functions and similarity indices.
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تاریخ انتشار 2013