Generalized basic probability assignments

被引：16

作者：

Augustin, T ^{[1
]}

机构：

[1] Univ Munich, Dept Stat, D-80539 Munich, Germany

来源：

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 2005年 / 34卷 / 04期

关键词：

interval probability; imprecise probabilities; belief function; basic probability assignment; Dempster-Shafer theory; linear partial information;

D O I：

10.1080/03081070500190839

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 [计算机软件与理论];

摘要：

Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially. By considering sets of basic probability assignments, an appealing constructive approach to general interval probability is achieved, which allows for a very flexible modelling of uncertain knowledge.

引用

页码：451 / 463

页数：13

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[2]

[Anonymous], ELEMENTARE GRUNDBEGR

[3]

Expected utility within a generalized concept of probability - a comprehensive framework for decision making under ambiguity [J].