Since absence from a tennis tournament is often due to factors beyond a player's choice such as injury (often exacerbated by age) or insufficient ranking, the methodology is far from perfect.
However, this method was found insufficient to rank non-normal (p -norm fuzzy numbers with different height; keep -normis in mind, Kumar et al. [9] developed an approach to overcome those shortcoming's.
Hence, Kumar's approach is only sufficient for ranking fuzzy numbers or non-normal (p -norm fuzzy numbers with different height, but the method is insufficient for ranking GFNs with different left height and right height.
As a single parameter is insufficient for ranking methods, the readers are directed to the original articles to find all the details.
In a number of cases, there were insufficient data to rank the data and this may exclude sites that may accurately record the paleomagnetic field or produce sample groups too small to provide statistically meaningful comparisons.
Married CHNs were more likely to rank insufficient resources to do their jobs as their primary difficulties, compared to unmarried CHNs, who were more likely to rank insufficient opportunities for career advancement.
The recent International Consensus Report provides a list of second-line therapies placed in alphabetical order because there were insufficient data to rank the treatments in order of efficacy, apart from the thrombopoietin receptor agonists, which have undergone rigorous randomised trials [ 3].
For example, that older CHNs were more likely to rank insufficient resources to do their jobs as a primary concern compared with younger CHNs does not indicate that younger CHNs believed they had sufficient resources, rather that they had other concerns, such as career advancement, which were not shared with the older CHNs who planned to retire in the near future.
This pattern was similar for older and younger CHNs, with younger respondents ranking insufficient career advancement opportunities highest and older CHNs ranking insufficient resources as the most problematic.
We identified four screening tools that are insufficient for careful ranking of models, but can be used to screen out unacceptable models, and could in some cases be refined into tools for relative or absolute ranking.
