Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
Description
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, see Filzmoser and Viertl (2004) , (2) testing fuzzy hypotheses based on crisp data, see Parchami et al. (2010) , and (3) testing fuzzy hypotheses based on fuzzy data, see Parchami et al. (2012) . 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.