Factor analysis for fuzzy data

Yoshiteru Nakamori, Junzo Watada

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper proposes a factor analysis technique for fuzzy data which are rating scores measured by adjectives. Fuzzy correlation coefficients are introduced and factor loadings are determined as fuzzy numbers. Thus, adjectives are identified as fuzzy objects in the factor space. After fuzzy distances between adjectives in the factor space are defined, a covering problem is formulated as an integer programming problem to determine a set of representative adjectives and an overlapped partition of adjectives simultaneously. This provides a useful information to study the relation between adjectives and designs.

本文言語English
ホスト出版物のタイトルIEEE International Conference on Fuzzy Systems
Place of PublicationPiscataway, NJ, United States
出版社IEEE
ページ1115-1120
ページ数6
2
出版ステータスPublished - 1997
外部発表はい
イベントProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3) - Barcelona, Spain
継続期間: 1997 7 11997 7 5

Other

OtherProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3)
CityBarcelona, Spain
Period97/7/197/7/5

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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