Agreement, agreement distributions, and distance

被引：0
|
作者：
Tastle, William J. [1 ]
Wierman, Mark J. [2 ]
机构：
[1] Ithaca Coll, Dept Management, New York, NY 14850 USA
[2] Creighton Univ, Dept Comp Sci, Omaha, NE 68172 USA
来源：
2008 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 | 2008年
关键词：
agreement; agreement measure; agreement distribution; agreement distance;
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：
Data collected by ordered category, i.e. a Likert scale, can be both challenging to understand and difficult to compare with other similar kinds of data. Building on the agreement measure we extend the application to include the calculation of a distance by which comparisons between agreement distributions can be made. This is useful in decision making when it is necessary to determine group positional changes over time, or proximity to agreement among separate teams.
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页码：389 / 392
页数：4
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