Fuzzy treatment of analytical data for colorimetry

Takuya Shimosaka, Takehiko Kitamori, Akira Harata, Tsuguo Sawada

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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
Volume7
DOIs
Publication statusPublished - 1991
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry

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