We were able to solve the problem of discovering K-barriers with
interpretability concerns for use in intrusion detection by collecting
data from wireless sensor networks. This gave us the information we
needed to find a solution. This paper contains the solution that we came
up with. As a result of the results of the suggested model in the paper
being assertive and interpretable in this context, vital information
pertaining to the matter that was being researched could be gathered.
The results were obtained through the process of showing how the
model can be interpreted. The challenge is trying to figure out how
many barriers are required for adequate territorial defense. It is
therefore possible to bring the expenses involved with anticipating and
installing equipment in these regions down to a level that is more
tolerable. The approach that has been offered provides a fresh
perspective on the nature of the underlying issue behavior and is
expected to be of assistance in the distribution of relevant data and
discoveries. Constructing expert systems that are relevant to the subject
matter is doable if one makes use of these fuzzy principles.