A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform

Live-streaming e-commerce is the future development direction of retail industry. When retailers choose a live-streaming platform, they face test various risks such as insecure control capital flow, insufficient support public domain traffic, etc. Therefore, it necessary to evaluate platform help identify with lowest risk. Considering complexity platforms and ambiguity decision-makers thinking, current method for multi-criteria group decision-making (MCGDM) in fuzzy environment rarely discusses weight criterion. This paper proposes interval-valued intuitionistic based on decision-makers’ professionalism platform’s risks. determines decision-maker’s criterion decision-maker uses technique order preference by similarity an ideal solution (TOPSIS) rank alternative platforms. Finally, risk assessment agricultural product used case study demonstrate feasibility effectiveness proposed method. research will not only provide practical guidance comprehensive but also ideas from perspective assessment.