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| 基于案例推理的突发事件应急方案生成方法 | |
| 引用本文： | 封超,杨乃定,桂维民,邹林丰.基于案例推理的突发事件应急方案生成方法[J].控制与决策,2016,31(8):1526-1530. |
| 作者姓名： | 封超 杨乃定 桂维民 邹林丰 |
| 作者单位： | 西北工业大学，管理学院，西安710072. |
| 基金项目： | 国家自然科学基金项目(71171162)；陕西省软科学重点项目(2012KRZ02). |
| 摘 要： | 针对突发事件应急方案生成问题, 提出一种考虑属性特征权重影响的应急方案生成方法. 基于案例推理(CBR) 理论, 将基本遗传算法(SGA) 和粒子群优化算法(PSO) 引入属性特征权重的计算中. 通过收集到的数据验证了案例间相似度计算的准确性, 说明了所提出方法的有效性和可行性. |
| 关 键 词： | 突发事件|案例推理|遗传算法|PSO 算法|特征权重 |
| 收稿时间： | 2015/6/2 0:00:00 |
| 修稿时间： | 2015/8/26 0:00:00 |
Method for generating emergency alternative based on case-based reasoning |
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| FENG Chao YANG Nai-ding GUI Wei-min ZOU Lin-feng.Method for generating emergency alternative based on case-based reasoning[J].Control and Decision,2016,31(8):1526-1530. | |
| Authors: | FENG Chao YANG Nai-ding GUI Wei-min ZOU Lin-feng |
| Abstract: | To solve the generating emergency alternative problem, the method of considering feature weighting factors for generating emergency alternative is proposed. Based on theory of case-based reasoning, the genetic algorithm and the particle swarm optimization algorithm are introduced into the calculation of the feature weighting. Through the data collected, the accuracy of similarity calculation between cases are verified, and the effectiveness and feasibility of the proposed method are illustrated. |
| Keywords: | emergency|case-based reasoning|genetic algorithm|PSO algorithm|feature weighting |
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