Similarity measure design on overlapped and non-overlapped data
来源期刊：中南大学学报(英文版)2013年第9期
论文作者：LEE Sang-hyuk SHIN Seung-soo
文章页码：2440 - 2446
Key words：similarity measure; overlapped data; non-overlapped data; intuitionistic data
Abstract: Similarity measure design on non-overlapped data was carried out and compared with the case of overlapped data. Unconsistant feature of similarity on overlapped data to non-overlapped data was provided by example. By the artificial data illustration, it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped case. To overcome the unbalance problem, similarity measure on non-overlapped data was obtained by considering neighbor information. Hence, different approaches to design similarity measure were proposed and proved by 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.
LEE Sang-hyuk1, SHIN Seung-soo2
(1. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University,
Suzhou 215123, China;
2. Department of Information Security, Tongmyong University, Busan 607-711, Korea)
Abstract:Similarity measure design on non-overlapped data was carried out and compared with the case of overlapped data. Unconsistant feature of similarity on overlapped data to non-overlapped data was provided by example. By the artificial data illustration, it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped case. To overcome the unbalance problem, similarity measure on non-overlapped data was obtained by considering neighbor information. Hence, different approaches to design similarity measure were proposed and proved by 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.
Key words:similarity measure; overlapped data; non-overlapped data; intuitionistic data
