Abstract
Aiming at the problem of evaluation of optimal scheme in group decision support system, The DEA C2GS2 model are improved according to the application characteristics of the system. In this paper, the relaxation vector is added into the model to analyze the influence of input factors on the evaluation results, First determine whether the program is likely to focus on production, That is to satisfy the application premise of C2GS2 model, Then determine which attributes affect the evaluation results of the program, Based on this, the group decision making scheme is adjusted, To achieve a more satisfactory results, The algorithm steps of evaluation and adjustment are given, Finally, a library information cloud nodes configuration example is given to verify the practicability of the model.
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Yuan, Q., Hu, W. (2018). Evaluation of Library Information Cloud Nodes Configuration Scheme Based on DEA Method. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_12
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DOI: https://doi.org/10.1007/978-3-319-67349-3_12
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