Evaluation of the Development Level of Intelligent City Based on Analytic Hierarchy Process and Fuzzy Forest
Journal Title: Scholars Journal of Physics, Mathematics and Statistics - Year 2017, Vol 4, Issue 1
Abstract
The sustainable development of the city is based on the current development mode and rational planning. This paper studies the development of three different types of cities, first, we use a similar analytic approach to select the dynamic variables that can reflect the level of development of smart cities, there are 62 indicators, and to find 62 indicators of data from 1990 to 2016. For the large amount of data, high dimensional characteristics, we use the random forest algorithm dimensionality, and finally find the representative index 32. Then we construct the judgment matrix according to the analytic hierarchy process and calculate the weight, and obtain the fuzzy evaluation matrix according to the experience expert method. The final weight matrix and the fuzzy matrix product to get a comprehensive evaluation model. And then we do quantitative analysis, change one or several indicators 10%, verify that the model is reasonable. And finally the applicability and robustness of this evaluation model are strong.
Authors and Affiliations
Yuanyuan Hao, Kai Zhao
Keywords
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