A new hybrid Pythagorean fuzzy AHP and COCOSO MCDM based approach by adopting artificial intelligence technologies

Abstract

ABSTRACT In recent decades, Artificial Intelligence (AI) has advanced from a research field to reality for executives. These are demonstrated by the accelerated use of AI technology in businesses, which has contributed to increased revenues, cost reductions, and expanded organisation performance. This research is the first to propose Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy compromised solution integration (PF-CoCoSo). PF-AHP calculates the weighting factors of the critical elements, whereas PF-CoCoSo ranks the benefit expectations (BEs) according its AI adoption. To illustrate the framework’s relevance, a scenario of Vietnam Telecom Corporation was performed. The most impactful AI technologies to adopt include ‘Managerial capabilities and related advantages’ following ‘government involvement,’ ‘technical capability and vendor partnership for AI adoption,’ and then ‘compatibility.’ A sensitivity analysis is used to verify the performance of the proposed framework. The study findings and the comparisons made between the results of the proposed technique and other Multi-Criteria Decision Making (MCDM) methods confirm the accuracy of the proposed method in solving the AI technology adoption problem. These contributions will support AI researchers and practitioners by providing recommendations and methodologies for examining the use of AI.