开发基于新技术的防震减灾系统以更好地开展大中城市的防震减灾工作是地震工作者亟待解决的重要问题。详细介绍了所开发的基于W ebG IS和人工智能技术的防震减灾信息管理与智能决策支持系统。开发中,以A rcIM S为开发平台,建造了基于GM L(G eography M arkup L anguage)的3层B/S结构(客户端、服务器层、数据库层)的防震减灾W ebG IS体系;采用GM L描述空间数据,构建基于GM L的地理空间数据模型,实现异构数据间的互访;引入A gen t技术,构造出基于多A gen t的智能决策支持系统,通过一系列的A gen t来代替决策支持系统中的功能单元,并以“黑板”为中介,协同A gen t间的工作,以合作求解复杂问题,实现智能化的辅助决策。 相似文献
The optimal allocation of sediment resources needs to balance three objectives including ecological, economic, and social benefits so as to realize sustainable development of sediment resources. This study aims to apply fuzzy programming and bargaining approaches to solve the problem of optimal allocation of sediment resources. Firstly, Pareto-optimal solutions of multi-objective optimization were introduced, and the multi-objective optimal allocation model of sediment resources and fuzzy programming model was constructed. Then, from the perspective of multiplayer cooperation, the optimal allocation model of sediment resources was transformed into a game model by using Nash bargaining, and Nash bargaining solution was obtained as the optimal equilibrium strategy. Finally, the influence of different disagreement utility points and bargaining weights on the results was discussed, and the results of Nash bargaining and fuzzy programming methods were compared and analyzed. Results corroborate that Nash bargaining can achieve the cooperative optimization of multiple objectives with competitive relationship and obtain satisfactory scheme. Disagreement utility points and bargaining weights have a certain impact on the optimization results. The solution of fuzzy programming is close to that of Nash bargaining, which provides different ideas for multi-objective optimization problem.
Environmental Science and Pollution Research - Magnetic nanostructured MnFe2O4 with different morphologies, synthesized via chemical co-precipitation and hydrothermal method, was assayed as... 相似文献