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论文编号：	6579
作者编号：	2220090762
上传时间：	2014/6/19 15:38:58
中文题目：	煤化工产业水处理项目多目标决策研究
英文题目：	Research on Multi-criteria Decision Making for Water Treatment Project of Coal-chemical Industry
指导老师：	李季
中文关键字：	决策模型, 多目标决策, 遗传算法, 接近理想点法
英文关键字：	Decision model, Multi-criteria decision making, Genetic algorithm, TOPSIS
中文摘要：	“十二五”期间我国的煤炭基地规划与水资源的现状存在尖锐矛盾，如果不根据水资源的现状进行调整，将会带来严重的环境恶果并影响到我国的能源安全。然而，西部大开发又是我国当前和未来一段时期内的重要发展战略，仍然需要大力发展煤化工产业。因此，优化配置煤化工产业配套建设的水处理项目，提高水的复用率，实现节约用水，以缓解煤化工产业发展与水资源短缺之间的矛盾，具有重要的意义。本文针对煤化工产业水处理项目的多目标决策问题，进行了如下几个方面的研究：根据水处理项目的层次结构，对水处理项目各单元的系统性及其间的有机联系进行了分析；针对水处理项目的特点，使传统多目标属性决策（MADM）和较先进的多目标优化决策（MODM）相结合，分别采用熵值法（EVM）及接近理想点法（TOPSIS）和带精英策略的非支配排序遗传算法（NSGA－II），构建了煤化工产业水处理项目的多目标决策模型；结合水处理项目各单元投资和运行费用分析，确定了决策模型的各种参数，并对决策模型进行了案例研究。该模型以煤化工产业水处理项目的总用水量、排污量、总投资和运行费用最小化为目标，通过MODM寻优并确定较优的方案集合，而后采用熵值法确定各属性权重并加以修正，再采用接近理想点法评价各方案，做出最终决策。在实例应用中，以内蒙古地区某煤化工基地为例，对模型进行了验证和应用，通过与已实施的方案相比较，显示出了模型的准确性、快捷性、科学性和实用性。
英文摘要：	During the Twelfth Five-year Plan period, sharp contradiction exists between coal-chemical-base plan and water resource. If we can’t make an effective adjustment, it will bring many serious environmental problems and affect China’s energy security. However, as important strategy in present and future, West Development Plan still needs remarkable progress in coal chemical industry. Therefore, it will be very important to ease the contradiction between the coal chemical industry and the water resource shortage by means of configuring optimally water treatment project for coal chemical industry to improve water reuse rate and to achieve water saving. Based on the multi-criteria decision making for water treatment project of coal chemical industry, the thesis makes the following studies: According to the hierarchy structure of water treatment projects, the system properties and organic-connection between each unit are analyzed; aiming at the characteristic of water treatment project, combining the traditional multiple attribute decision making (MADM) and more advanced multiple objective optimization decision (MODM), respectively using entropy value method (EVM), technique for order preferency by similarity to ideal solution method (TOPSIS) and elitist strategy non-dominated sorting genetic algorithm (NSGA-II), the multi-criteria decision making model for coal-chemical industry water treatment project is built; combined with the investment and operating cost analysis of each unit in water treatment project, various parameter in decision model is determined, and the case study of decision model was made finally. In this model, for coal-chemical industry water treatment project, the minimization of total water consumption, wastewater discharged, total investment and operating cost are considered as the objectives, optimizing by MODM to make the optimal alternatives set, and then determined the attribute weights by using entropy value method with modifying, evaluated each alternative by technique for order preferency by similarity to ideal solution method, made the final decision. In application, a coal chemical industry base in Inner-Mongolia area as a case, the model is validated and applied, by comparison with the project have been implemented, shows the accuracy, efficient, scientific and practical of the model.
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