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 |
| 巻 | 19 |
| 号 | 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