Abstract
Recycling of scrap iron and steel is the key steps to realize the sustainable development of iron and steel industry. Considering the existing processing methods of crap iron and steel are extensive, and the processing depends on the experience of the staff or manual measurement, which is easy to cause resource waste and secondary pollution. Aiming at the difficulty of the processing decision-making of scrap iron and steel, a method of scrap iron and steel processing technology decision-making based on case reasoning is proposed. After analysing the sources and classification of the scrap iron and steel, and combining with the main processing methods, the modular case base is founded. Extracting the key features of scrap iron and steel, and using the entropy weight method and analytic hierarchy process (AHP) to calculate the weight of each characteristic element, the comprehensive similarity of the index of case is calculated to obtain the processing method. The feasibility and effectiveness of the decision method are verified by taking the scrap iron and steel processing of a metal resource company as an example.
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