Abstract
In the process of supply chain risk management, selecting the right supplier quickly and accurately is one of the most critical issues for the company. Due to the influence of various risks, improper selection or time-consuming evaluation may lead to the company losing the best time, cost and market share. For the multi-criteria decision-making problem of supplier selection, this study proposes an intelligent method combining the combination of triangular fuzzy number and network analysis method, evaluates the alternative solutions, obtains the supplier ranking result and proves the effectiveness of the method by case studies of the electronics industry. A scientific reference is provided by this method for the development of supplier-selected intelligent systems.
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