Atiq Ur Rehman

TL;DR: In this article, the authors proposed two approaches to BWM, namely, Linear Best-Worst Method (LBWM) and Euclidean Best Worst Method (EBWM), to achieve the best criteria priority vector for Multi-Criteria Group Decision Making (MCGDM) problems in the context of I2TL information.

TL;DR: In this article, a survey of smart communication subsystems is provided and several communication technologies that have strong potential for implementation in future smart grid applications by electric utility companies are discussed and the advantages and disadvantages of each communication technology in the smart grid domain are also presented.

TL;DR: A novel method to compensate drift in gas sensors with the following contributions: the fitness function of a recursive metaheuristic optimization method is modified by embedding random forests learning for the quantification of six different gases under drift, and the feature vector exploitation using particle swarm optimization reduces the computational complexity and increases the prediction accuracy of the system.

TL;DR: This work consists of a consensus-based technique for selecting and evaluating suppliers in an incomplete fuzzy preference relations (IFPRs) environment utilizing TL-transitivity (Lukasiewicz transitivity) and uses the symmetrical decisional matrix approach.

TL;DR: In this article, Hadamard-type inequalities for fractional Riemann-Liouville integrals are deduced, and some well known results related to hadamard inequalities are also deduced.