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Journal of System Simulation

Abstract

Abstract: Based on the research on green smart city at home and abroad; and aiming at the shortcomings and deficiencies of traditional evaluation methods, this paper proposes an evaluation method of combining entropy and cloud model based on the cloud model which can realize the conversion of qualitative concept and quantitative value. This method synthetically considers the subjective and objective factors; carries on the correlation analysis to the index; determines the set of evaluation indicators; uses the X-conditional cloud generator in cloud model to obtain the different levels of membership matrix corresponding to each evaluation object; and carries on the fuzzy transformation by using the entropy weight method to determine the objective weight of the evaluation object; and after that, compares the simulation evaluation results with support vector machine evaluation results. The simulation results show that the entropy weight - cloud model is better than support vector machine in evaluating green smart cities, and the evaluation result of this method is reasonable and effective.

First Page

136

Revised Date

2018-05-24

Last Page

144

CLC

F292

Recommended Citation

Chen li, Zhang HaiXia. Evaluation of Green Smart Cities in China Based on Entropy Weight - Cloud Model[J]. Journal of System Simulation, 2019, 31(1): 136-144.

DOI

10.16182/j.issn1004731x.joss.18-0008

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