Possibilistic linear systems and their application to the linear regression model

H. Tanaka, J. Watada

研究成果: Article

343 引用 (Scopus)

抜粋

It is the purpose of this paper to illustrate possibilistic linear systems based on possibility measure and to formulate a linear regression analysis by possibilistic linear models. Linear regression by a possibilistic model is called possibilistic linear regression. This is a new interpretation of fuzzy linear regression and also includes a new method by which interval analysis can be done in fuzzy numbers.

元の言語English
ページ(範囲)275-289
ページ数15
ジャーナルFuzzy Sets and Systems
27
発行部数3
DOI
出版物ステータスPublished - 1988
外部発表Yes

    フィンガープリント

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

これを引用