Evaluating and Prioritizing Blockchain Networks using Intuitionistic Fuzzy Multi-Criteria Decision-Making Method
Arunodaya Raj Mishra, Pratibha Rani
Abstract
Being a generalization of fuzzy set, intuitionistic fuzzy set (IFS) obtains a better representation of fuzziness and uncertainty. Inspired by this concept, this paper first proposes a logarithmic distance measure to calculate the degree of difference between IFSs. Moreover, this work develops a hybrid ranking model by combining the distance measure, rank-sum model, Stepwise Weight Assessment Ratio Analysis (SWARA) weighting tool, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods under the context of intuitionistic fuzzy environment. In the proposed method, the rank-sum model is used to compute the decision makers’ weights, while the SWARA model is applied to evaluate the criteria weights. To show the practicality of developed model, it is executed to a case study of determining the rank of blockchain networks in the healthcare management system. Comparative study is presented to confirm the advantages of proposed approach over the existing methods.