Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9650973 | Information Sciences | 2005 | 27 Pages |
Abstract
The method of handling fuzziness upon the usual method of statistical hypotheses testing is proposed. We transact the h-level set of fuzzy data for the sake of invoking usual method of statistical hypotheses testing. We propose the decision rules that are used to accept or reject the null and alternative hypotheses with the notions of degrees of optimism and pessimism by solving optimization problems. We also provide a computational procedure and an example to clarify the discussions in this paper.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hsien-Chung Wu,