Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment

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.


Reference manual

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0.5 by Abbas Parchami, 4 years ago

Browse source code at https://github.com/cran/FPV

Authors: Abbas Parchami (Department of Statistics , Faculty of Mathematics and Computer , Shahid Bahonar University of Kerman , Kerman , Iran)

Documentation:   PDF Manual  

LGPL (>= 3) license

Imports FuzzyNumbers, FuzzyNumbers.Ext.2

See at CRAN