The thought and model of linguistic regression

Junzo Watada*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Generally it is important for human experts to express their ideas and thoughts. Human words are basically employed in these expressions. So we employ fuzzy regression analysis to handle human words and find the latent structures under these human words and build a linguistic regression model.

Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
EditorsM.H. Smith, W.A. Gruver, L.O. Hall
Pages2955-2959
Number of pages5
Volume5
Publication statusPublished - 2001
Externally publishedYes
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC
Duration: 2001 Jul 252001 Jul 28

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CityVancouver, BC
Period01/7/2501/7/28

Keywords

  • Computation of words
  • Fuzzy regression model
  • Linguistic regression

ASJC Scopus subject areas

  • Computer Science(all)
  • Media Technology

Fingerprint

Dive into the research topics of 'The thought and model of linguistic regression'. Together they form a unique fingerprint.

Cite this