Similarity of vectors by fuzzy contingency table and its evaluation by MDS

DOI

Bibliographic Information

Other Title
  • 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.

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Keywords

Details 詳細情報について

  • CRID
    1390018198838903680
  • DOI
    10.24466/pacbfsa.36.0_113
  • ISSN
    24242586
    13451510
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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