An "orderwise" polynomial regression procedure for fuzzy data

被引：52
|
作者：
D'Urso, P [1 ]
Gastaldi, T [1 ]
机构：
[1] Univ Roma La Sapienza, Dipartimento Stat Probabil & Stat Applicate, I-00185 Rome, Italy
来源：
FUZZY SETS AND SYSTEMS | 2002年 / 130卷 / 01期
关键词：
fuzzy data; polynomial adaptive regression model; least-squares iterative estimators; triangular and trapezoidal membership; functions; determination index; software reliability;
D O I：
10.1016/S0165-0114(02)00055-6
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A procedure for polynomial fit with fuzzy data is presented. As in real case studies, there is often dependence between modes and spreads, we propose a regression polynomial model capable to,take into account possible interactions between the estimated spreads and modes. This method finds applications in several fields such as reliability, quality control, psychometrics, marketing, image processing, etc. An application to a software reliability problem is also presented. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1 / 19
页数：19
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