Fuzzy Linear Regression Method in Ultratrace Analysis and Analytical Interpretation

Takuya Shimosaka, Takehiko Kitamori, Akira Harata, Tsuguo Sawada

Research output: Contribution to journalArticlepeer-review


Fuzzy sets theory was introduced for quantitative treatment of measured values in ultratrace analysis. The data obtained in extremely low concentration have uncertainties such as errors of measurement or errors arising from chemical handling of the samples. In place of the least squares method, a fuzzy linear regression method was applied to measured values expressed by the fuzzy numbers, and instead of a calibration curve, a calibration area was obtained. The validity and propriety of the calibration area were shown from simulation and experimental data of ultratrace analyses done using laser induced photothermal spectrometry. Analytical meanings of the shape of the calibration area were discussed.

Original languageEnglish
Pages (from-to)385-391
Number of pages7
Journalanalytical sciences
Issue number3
Publication statusPublished - 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry


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