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The Fuzzy-AI Modeling for Optimization of Long-Term Metro Vehicle Repair

In this paper, the “Fuzzy-AI model” is applied for investment decision of optimum repair of multiple metro vehicles. The model solves this highly uncertain and sophisticated problem both based on its fuzzy analysis and reasoning of existing distressed metro vehicles. The VDSI (vehicle distress state indicator) is used in finding the optimum investment management of repair, which is a fuzzy synthesis of quantized indicator for the distressed vehicle. An optimization of long-term vehicle repair investment planning is suggested.