k-sample median test for vague data
- Przemysław Grzegorzewski
Classical statistical tests may be sensitive to violations of the fundamental model assumptions inherent in the derivation and construction of these tests. It is obvious that such violations are much more probable in the presence of vague data. Thus nonparametric tests seem to be promising statistical tools. In the present paper, a distribution-free statistical test for the so-called “many-one problem” with vague data is suggested. This test is a generalization of the k-sample median test. In our approach, we utilize the necessity index of strict dominance, suggested by Dubois and Prade. © 2009 Wiley Periodicals, Inc.
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- International Journal of Intelligent Systems, ISSN 1098-111X
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- DOI:10.1002/int.20345 Opening in a new tab
- http://onlinelibrary.wiley.com/doi/10.1002/int.20345/abstract Opening in a new tab
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- = 22; = 28; = 8.0
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.