Using Dempster Shafer theory to aggregate usability study data

被引：0

作者：

Iourinski, D ^{[1
]}

Ramalingam, S ^{[1
]}

机构：

[1] Middlesex Univ, Sch Comp Sci, London NW4 4BT, England

来源：

Third International Conference on Information Technology and Applications, Vol 1, Proceedings | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an attempt to develop a mixed data aggregation technique applicable for a groupware usability study. We show the formal parallelism between the evidence combination and decision making problems and that of ranking alternatives according to their usability. After the parallelism is established we explain how the ranking of alternatives may be approached by a combination of techniques from Dempster-Shafer and multi-criteria decision making (MCDM) theories and illustrate the presented technique on actual data gathered during a usability study conducted by the Ambient Technology Group in Middlesex University.

引用

页码：429 / 434

页数：6

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