MINERAL WATERS CLASSIFICATION USING FUZZY LINEAR DISCRIMINANT ANALYSIS

被引：2

作者：

Guidea, Alexandrina ^{[1
]}

Gaceanu, Radu D. ^{[2
]}

Pop, Horia F. ^{[2
]}

Sarbu, Costel ^{[1
]}

机构：

[1] Babes Bolyai Univ, Fac Chem & Chem Engn, 11 Arany Janos Str, RO-400028 Cluj Napoca, Romania

[2] Babes Bolyai Univ, Dept Comp Sci, Str Mihail Kogalniceanu 1, RO-400028 Cluj Napoca, Romania

来源：

STUDIA UNIVERSITATIS BABES-BOLYAI CHEMIA | 2020年 / 65卷 / 02期

关键词：

Fuzzy discriminant analysis; chemometrics; mineral waters; mineral composition; GERMAN;

D O I：

10.24193/subbchem.2020.2.04

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Fuzzy linear discriminant analysis is efficiently applied for the characterization and classification of some Romanian and German mineral waters according to their mineral composition. The samples were successfully classified according to the degrees of membership and canonical scores. A correct classification rate of 88% was obtained when the samples were divided into four groups corresponding to origin and nature of samples. The proposed methodology based on the fuzzy sets theory may be considered as a promising tool with future applications in analytical chemistry and other related fields.

引用

页码：45 / 56

页数：12

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