Fuzzy treatment of analytical data for colorimetry

Takuya Shimosaka, Takehiko Kitamori, Akira Harata, Tsuguo Sawada

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


We have applied fuzzy theory to non-statistical and quantitative processing of experimental errors. A fuzzy linear regression method was introduced to quantitative analysis, and an “estimation area” was derived in place of a conventional calibration curve. This theoretical treatment was applied to colorimetry and its propriety was confirmed.

Original languageEnglish
Pages (from-to)1389-1390
Number of pages2
Journalanalytical sciences
Publication statusPublished - Jan 1991
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry


Dive into the research topics of 'Fuzzy treatment of analytical data for colorimetry'. Together they form a unique fingerprint.

Cite this