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Third International Conference on Information Technology and Applications (ICITA'05) Volume 1
Using Dempster Shafer Theory to Aggregate Usability Study Data
Sydney, Australia
July 04-July 07
ISBN: 0-7695-2316-1
Dmitri Iourinski, Middlesex University
Soodamani Ramalingam, Middlesex University
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.
Citation:
Dmitri Iourinski, Soodamani Ramalingam, "Using Dempster Shafer Theory to Aggregate Usability Study Data," icita, vol. 1, pp.429-434, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005
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