Possibility Measure of Accepting Statistical Hypothesis is a research paper published in Mathematics (2020). On theSindex it has a DataRank of 0.223. It has been cited 2 times, with 2 citing works in its 1-hop citation network.
Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study. In contrast to classical statistical testing, which yields a binary decision to reject or to accept a null hypothesis, the proposed approach is to determine the possibility of accepting a null hypothesis (or alternative hypothesis). When data are crisp, the proposed approach reduces to the classical hypothesis testing approach.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0.0579
From 2 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 74% comes from its base citations and 26% from the citation network (2 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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