In a hierarchical edge‐fog‐cloud architecture, edge devices possess limited resources and
energy. To contain with, it can offload some tasks generated by the Internet of Things (IoT) to …

Learning management systems (LMSs) are used today to assist in the designing, delivery
and management of learning resources for learners. There are hundreds of LMS available in …

There has been a sudden increase in the usage of Learning Management Systems
applications to support learner's learning process in higher education. Many studies in …

Uncertainty in expert systems is an essential research point in the artificial intelligence
domain. Uncertain knowledge representation and analysis in expert systems is one of the …

Heart disease diagnosis depends on vague, imprecise, ambiguity and inconsistent
combination of clinical and pathological data. Therefore, researches in these fields tend to …

Multilevel feedback queue scheduler suffers from major issues of scheduling such as
starvation for long tasks, fixed number of queues, and static length of time quantum in each …

The notion of uncertainty in expert systems is dealing with vague data, incomplete
information, and imprecise knowledge. Different uncertainty types which are imprecision …

In operating system the decisions which CPU scheduler makes regarding the sequence and
length of time the task may run are not easy ones, as the scheduler has only a limited …

In this article, fuzzy set theory and other generalized theories are described as having
extended the concept of classical set theory to uncertain problems. Fuzzy set theory plays a …

Fuzzy based CPU scheduler has become of great interest by operating system because of
its ability to handle imprecise information associated with task. This paper introduces an …