Fuzzy discriminant analysis in fuzzy groups

Junzo Watada, Hideo Tanaka, Kiyoji Asai

研究成果: Article査読

24 被引用数 (Scopus)

抄録

This paper deals with discriminant problems to classify samples with fuzzy multi-attribute into fuzzy groups. In this problem, the objective is to determine the linear discriminant function that provides the maximum separation of fuzzy groups in a real space. For this purpose, we define the fuzzy variance ratio and employ maximization of the fuzzy variance ratio as a criterion. Furthermore, a partial correlation coefficient in the fuzzy groups is defined to estimate the influence of each attribute itself on the discrimination between fuzzy groups.

本文言語English
ページ(範囲)261-271
ページ数11
ジャーナルFuzzy Sets and Systems
19
3
DOI
出版ステータスPublished - 1986
外部発表はい

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Statistics and Probability

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