Similarity of vectors by fuzzy contingency table and its evaluation by MDS
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- UESU Hiroaki
- Kanazawa Institute of Technology
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- SOMEYAMA Norihiro
- Shin-yo-ji Buddhist Temple
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- SHINKAI Kimiaki
- Tokyo Kasei Gakuin University
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- KANAGAWA Shuya
- Tokyo Gakugei University University
Bibliographic Information
- Other Title
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- ファジィ分割表によるベクトル類似度と MDS によるその評価
Abstract
Various analyses using contingency tables are very useful for finding interactions between two variables. The authors have extended contingency tables by applying fuzzy set theory and defined fuzzy contingency tables (type-1/type-2 fuzzy contingency tables). This enables type-1/type-2 fuzzy partitioning of similarity indices in typical set theory. In addition, it is now possible to calculate vectors from the similarity using MDS. In this paper, we propose a similarity calculation method using contingency tables and a similarity evaluation method using MDS, and evaluate the similarity of simulated data as a simulation.
Journal
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- Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
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Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association 36 (0), 113-117, 2023
Biomedical Fuzzy Systems Association
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Keywords
Details 詳細情報について
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- CRID
- 1390018198838903680
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- ISSN
- 24242586
- 13451510
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed