INTUITIONISTIC FUZZY DISTANCE MEASURE-BASED APPROACH FOR ADOPTING THE BLOCKCHAIN TECHNOLOGY IN THE LOGISTICS INDUSTRY

Blockchain technology (BT) has appeared as a promising solution for addressing several challenges in the supply chain and logistics. Digital transformation in supply chain and logistics can drive significant business growth by updating outdated systems. Though, the BT-enabled digital transformation concerning BT for a logistics industry meets the numerous challenges of choosing a suitable blockchain platform for needs of logistics industry. In this paper, we introduce an integrated intuitionistic fuzzy information-based decision support system for selecting and assessing the blockchain platforms in the logistics industry. This method computes the decision experts’ weight and combined weight of criteria with score function-rank sum model and model based on the removal effects of criteria (MEREC) on intuitionistic fuzzy sets (IFSs). In the following, a novel distance measure is proposed for IFSs to measure the degree of composite distance of alternatives. Next, the developed framework is implemented to a case study of blockchain platforms assessment problem. Sensitivity assessment and comparison with existing methods are discussed for determining the utility and advantages of proposed approach.