Analysis on Overlapped and Non-overlapped Data

Abstract

Similarity measure design on non-overlapped data was carried out, and compared with the case of overlapped data. By the application result, it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped case. To solve the similarity measure design problem, neighbor data distance was considered to design the similarity measure of non-overlapped data. Hence different approach to design similarity measure was proposed and proved with consideration of neighbor information. With the example of artificial data, similarity measure calculation was carried out. Similarity measure extension to intuitionistic fuzzy sets(IFSs) containing uncertainty named hesitance was also followed