In a recent paper published in this very journal, the “Bounded fuzzy possibilistic method” (BFPM) was proposed. We point out that there are some critical flaws in the said algorithm, which makes the results presented therein highly questionable. In particular, the method does not generate meaningful cluster membership degrees and fails to converge when run on some well-known benchmark data sets.

中文翻译：

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对有界模糊可能性方法的批判

在该期刊最近发表的一篇论文中，提出了“有界模糊可能性方法”（BFPM）。我们指出，上述算法存在一些严重缺陷，这使得其中呈现的结果非常值得怀疑。特别是，该方法不会产生有意义的集群隶属度，并且在一些众所周知的基准数据集上运行时无法收敛。