The main goal of this package is drawing the membership function of the fuzzy p-value which is defined as a fuzzy set on the unit interval for three following problems: (1) testing crisp hypotheses based on fuzzy data, (2) testing fuzzy hypotheses based on crisp data, and (3) testing fuzzy hypotheses based on fuzzy data. In all cases, the fuzziness of data or/and the fuzziness of the boundary of null fuzzy hypothesis transported via the p-value function and causes to produce the fuzzy p-value. If the p-value is fuzzy, it is more appropriate to consider a fuzzy significance level for the problem. Therefore, the comparison of the fuzzy p-value and the fuzzy significance level is evaluated by a fuzzy ranking method in this package.
|Author||Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)|
|Date of publication||2016-08-07 16:06:36|
|Maintainer||Abbas Parchami <email@example.com>|
|License||LGPL (>= 3)|
B: Class of linear fuzzy sets to construct concept...
Fuzzy.p.value-package: Computing Fuzzy p-Value
p_value.norm: Testing hypotheses based on fuzzy p-value for Normal...
p_value.pois: Testing hypotheses based on fuzzy p-value for Poisson...
S: Class of linear fuzzy sets to construct concept...
T: Class of triangular fuzzy numbers
Tr: Class of trapezoidal fuzzy numbers
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