Decision support model for blockchain adoption using EDAS technique in the complex q-rung orthopair fuzzy structure.

ABSTRACT: Blockchain technology (BCT) is dramatically altering industries by providing a decentralized, secure, and transparent system to trade without any intermediaries-promoting trust and automation in public and private networks. Managers and decision-makers need to apply multi-attribute group decision-making (MAGDM) processes under uncertainty in order to identify the factors that influence BCT adoption and its possible uses. This study presents a systematic approach to the identification and addressing of barriers preventing the implementation of BCT. First, we introduce a number of intricate aggregation processors based on complex q-rung orthopair fuzzy settings (Cq-ROFSs) for synthesizing the views of specialists. Moreover, we propose a set of interesting complex q-rung orthopair fuzzy Einst

SUBMITTER: Ali U 

PROVIDER: S-EPMC12669690 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature