Fuzzy robust estimation of central location

被引：10

作者：

Sârbu, C

Pop, HF

机构：

[1] Univ Babes Bolyai, Fac Chem & Chem Engn, Dept Analyt Chem, RO-3400 Cluj Napoca, Romania

[2] Univ Babes Bolyai, Dept Informat, RO-3400 Cluj Napoca, Romania

来源：

TALANTA | 2001年 / 54卷 / 01期

关键词：

central location; robust estimation; fuzzy 1-means algorithm; chemometrics;

D O I：

10.1016/S0039-9140(00)00644-5

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The problem of a new robust algorithm for estimation of central location has been described in a mathematically simpler way using the fuzzy sets theory. It was compared with ordinary mean estimator and other robust estimators - median, 5% trimmed mean and Huber-, Tukey-, Hampel-. and Andrews-type M-estimators. The performance of Fuzzy 1-means algorithm (FM) proposed is demonstrated by applying it to different data sets from published literature and has been shown to exceed that of conventional ordinary mean estimator and equals or often exceeds that of the most robust estimators. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：125 / 130

页数：6

共 29 条

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