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Application of fuzzy optimization model in the evaluationof urban flood-waterloggedvulnerabilitybased on the synthetic weight ofgame theory
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作者 LIU Ke 《International Journal of Technology Management》 2014年第5期6-9,共4页
The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calcula... The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calculate the subjective and objective weight of the evaluation indicators, and combine them by game theory. So we can obtain synthetic weight based on objective and subjective weights. The evaluation of urban flood-waterlogged vulnerability as target layer, a single variable multi-objective fuzzy optimization model is established. We use the model to evaluate flood-waterlogged vulnerability of 13 prefecture-level city in Hunan, and compare it with other evaluation method. The results show that the evaluation method has certain adaptability and reliability, and it' s helpfid to the construction planning of urban flood control. 展开更多
关键词 Evaluation of urban flood-waterlogged vulnerability Synthetic weights Game theory variable fuzzy optimization model
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Trajectory control of Mars probe based on fuzzy variable parameter theory
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作者 Yuesheng Ye Ziying Zeng +2 位作者 Caiying Yang Qingnan Huang Hongyang Zhang 《Journal of Control and Decision》 2025年第5期883-899,共17页
The longitudinal dynamics model of the Mars probe's entry phase is a time-varying and nonlinear model.The study of time-varying nonlinear systems is complex.When the system is processed with a T-S fuzzy system,the... The longitudinal dynamics model of the Mars probe's entry phase is a time-varying and nonlinear model.The study of time-varying nonlinear systems is complex.When the system is processed with a T-S fuzzy system,there is a limitation that the number of fuzzy rules increases dramatically.In this paper,the dynamic model of the Mars probe in the entry phase is treated with a fuzzy variable parameter system to overcome this shortcoming.By the process of local linearisation,a fuzzy variable parameter model of the Mars probe is established according to the time-varying characteristics of atmospheric density.Next,the full-state feedback and dynamic output feedback gain-scheduling controllers are designed based on the quadratic Lyapunov stability theory.Finally,Simulink simulation verifies that the fuzzy variable parameter system of the Mars probe's entry phase can be asymptotically stabilised by the designed controllers. 展开更多
关键词 fuzzy variable parameter model local linearisation feedback controller stabilisation
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