Fuzzy set theory has been criticized for building on an ill-understood notion, viz., that of
graded membership. To address this concern, recent work has proposed an operational …

One of the main limitations of many current AI-based decision-making systems is that they
do not provide any understandable explanations of how they came up with the produced …

In this sequel to our previous article (Cordero et al., 2020) on general inference systems for
reasoning with if–then dependencies, we study transformations of if–then rules to …

This document describes the implementation of a neuro-fuzzy adaptive system MIMO
(Multiple Input Multiple Output), using two neuro-fuzzy MIMO systems: one for control and …

The article is devoted to the construction of a fuzzy logic model for evaluating business
models of Ukrainian IT enterprises in terms of their value creation for recipients of digital …

Intuitively, interval-values fuzzy degrees are more adequate for representing expert
uncertainty than the traditional [0, 1]-based ones. Indeed, the very need for fuzzy degrees …

The main limitation of mobile computing in comparison with regular computing is the need to
make sure that the battery lasts as long as possible–and thus, the number of computational …

Fuzzy logic arises from an attempt to manage the inherent vagueness there is in the
language we use when discussing our world—it is a formal treatment of vague predicates …

Fuzzy techniques describe expert opinions. At first glance, we would therefore expect that
the more accurately the corresponding membership functions describe the expert's opinions …

This article dealt data from real life applications in interval neutrosophic environment. The
proposed approach work on the principle that the decision set is the confluence of objectives …