Package: FPV 0.5

Abbas Parchami

FPV: 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) <doi:10.1007/s001840300269>, (2) testing fuzzy hypotheses based on crisp data, see Parchami et al. (2010) <doi:10.1007/s00362-008-0133-4>, and (3) testing fuzzy hypotheses based on fuzzy data, see Parchami et al. (2012) <doi:10.1007/s00362-010-0353-2>. 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.

Authors:Abbas Parchami

FPV_0.5.tar.gz
FPV_0.5.tar.gz(r-4.5-noble)FPV_0.5.tar.gz(r-4.4-noble)
FPV_0.5.tgz(r-4.4-emscripten)FPV_0.5.tgz(r-4.3-emscripten)
FPV.pdf |FPV.html✨
FPV/json (API)

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1 exports 0.00 score 2 dependencies 1 scripts 177 downloads

Last updated 7 years agofrom:acbfe27dcc. Checks:OK: 2. Indexed: yes.

Exports:fuzzy.p.value

Dependencies:FuzzyNumbersFuzzyNumbers.Ext.2