  Data is evolving with the rapid progress of population and communication for
various types of devices such as networks, cloud computing, Internet of Things
(IoT), actuators, and sensors. The increment of data and communication content
goes with the equivalence of velocity, speed, size, and value to provide the
useful and meaningful knowledge that helps to solve the future challenging
tasks and latest issues. Besides, multicriteria based decision making is one of
the key issues to solve for various issues related to the alternative effects
in big data analysis. It tends to find a solution based on the latest machine
learning techniques that include algorithms like decision making and deep
learning mechanism based on multicriteria in providing insights to big data. On
the other hand, the derivations are made for it to go with the approximations
to increase the duality of runtime and improve the entire system's potentiality
and efficacy. In essence, several fields, including business, agriculture,
information technology, and computer science, use deep learning and
multicriteria-based decision-making problems. This paper aims to provide
various applications that involve the concepts of deep learning techniques and
exploiting the multicriteria approaches for issues that are facing in big data
analytics by proposing new studies with the fusion approaches of data-driven
techniques.
