Bayesian fuzzy kriging

被引：20
|
作者：
Bandemer, H
Gebhardt, A [1 ]
机构：
[1] Univ Klagenfurt, Inst Math & Stat, Dept Appl Stat, A-9020 Klagenfurt, Austria
[2] Freiberg Univ Min & Technol, Inst Stochast, D-09596 Freiberg, Germany
来源：
FUZZY SETS AND SYSTEMS | 2000年 / 112卷 / 03期
关键词：
probability theory and statistics; kriging; fuzzy random numbers; Bayesian estimation;
D O I：
10.1016/S0165-0114(97)00405-3
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The paper contains a combination of two approaches generalising the usual kriging technique for prediction in fields: the Bayesian approach incorporating Drier knowledge on the field and the fuzzy set approach reflecting uncertainty w.r.t. observation impreciseness and specification vagueness. The presentation includes a numerical example.(1) (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：405 / 418
页数：14
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