Abstract
The evaluation system of real estate website has been studied and it shows that there are still many drawbacks that lead to inaccurate evaluation information and affect the decision of house buyers. Therefore, the thesis employs the Grey Linguistic Multi-Criteria Decision-Making (GLMCDM) Model to improve the evaluation system of real estate website. By establishing the Grey Linguistic Multi-Criteria Decision-Making (GLMCDM) Model, customers’ evaluation information is analyzed, then the proper apartments can be recommended to house buyers on the basis of their information. Finally, the feasibility of the model is proved by calculation.
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Li, Z., Zhang, L. (2013). Based on Grey Linguistic Multi-Criteria Decision Making Method for Real Estate Websites’ Evaluation. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_62
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DOI: https://doi.org/10.1007/978-3-642-37502-6_62
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