On stability of fuzzy formal concepts over randomized one-sided formal context

We propose a probabilistic approach to the issue of one-sided fuzzy formal concepts stability. The modified Rice-Siff algorithm represents a crisp index how to select the relevant concepts from the set of all one-sided fuzzy formal concepts. We suggest to explore the formal concepts stability affected by the random fluctuation of values in a formal context. We describe the algorithm and study the properties of the concept stability using random variables with the Gaussian normal distribution. In combination with the modified Rice-Siff algorithm, the Gaussian probabilistic index improves the analysis of the most relevant one-sided formal concepts from the original one-sided formal context. The connections to recent works in the related directions are presented.