A Hybrid Triangular Fuzzy SWARA-MAROCS Approach for Selecting Optimal and Smart Logistic Enterprise Based on IoT, Blockchain, and UAVs

Abstract

With the development of technology and the Internet of Things (IoT), the use of electronic commerce has become necessary. There are many logistical enterprises now use the IoT to support their delivery process via drones, due to the numerous advantages they offer over traditional methods. However they face some restrictions and security concerns, so blockchain technology was used to overcome these restrictions and follow up on the delivery process to meet the requirements of e-commerce. In light of this, choosing the most suitable logistics enterprises to meet the needs of customers in a given situation has become a challenging task for decision-makers. To facilitate this task, we have introduced a systematic approach that uses triangular fuzzy step-wise weight assessment ratio analysis (SWARA) and triangular fuzzy measurement of alternatives and ranking according to compromise solution (MAROCS) methods to evaluate and rank alternatives. Fuzzy SWARA is used to determine the weights of evaluative criteria, while Fuzzy MARCOS is used to rank alternatives and select the best of them. This method eliminates ambiguity and imprecision in the decision-making process.