… Inverse Data Envelopment Analysis (FIDEA) and Fuzzy Markov Decision Process (FMDP) …
while operating in a fuzzy mode. We represent data as triangular fuzzy numbers and employ …

… criteria, the scheduling in the fog node has become a challenge. … the Priority Queue, Fuzzy
and Analytical Hierarchy Process … related to the scheduling of fog computing. For instance, it …

… fuzzy rough set theory by fusing it with the hesitant fuzzy soft set. We describe the inverse
hesitant fuzzy soft set that defines the inverse hesitant fuzzy … privacy issues of fog computing …

… This paper aims to tackle fog resources based on fuzzy theory and containerization
characteristic. The primary goal is to provide a lightweight autoscaling mechanism for fog computing …

… Fog computing is an middle layer amid the Cloud computing and IoT which can allocate the
tasks to resources. In fog computing, … in fog computing paradigm based on fuzzy approach is …

… to evaluate trust in fog computing, this section looks at trust … , Bayesian theory, Dempster-Shafer
(DS) theory, and Fuzzy logic… Focusing solely on fuzzy logic, study in [8] uses combination …

… in fog computing. For resource scheduling, this paper recommends an enhanced form of
fast fuzzy C-means (FFCM) with crow search optimisation (CSO) algorithm in fog computing. …

… computing [2] [3]. From this point of view, fog computing is not aimed to replace cloud
computing, but to complement it in a new computing paradigm, fog-cloud computing, which aims at …

… No study has yet been published that considers the fog computing-based cold chain implicit
… TS fuzzy inference and the fog computing based on ANN (artificial Neural networks) theory. …

… Therefore, we propose a fuzzy logic based heuristic in order to obtain sub-optimal solution
for the problem P . Further, we enhance the obtained solution using reinforcement learning …