Multi-criteria evaluation of cooking energy alternatives for promoting parabolic solar cooker in India

The policy formulation for cooking energy substitution by renewables is addressed in multi-criteria context. A survey is conducted to know the perceptions of different decision making groups on present dissemination of various cooking energy alternatives in India. Nine cooking energy alternatives are evaluated on 30 different criteria comprising of technical, economic, environmental/social, behavioral and commercial issues. Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), a multi-criteria decision making method of outranking nature is used to rank the alternatives. It is found that liquefied petroleum gas (LPG) stove is the most preferred device, followed by kerosene stove, solar box cooker and parabolic solar cooker (PSC) in that order. A sensitivity analysis is also carried out for identifying potential areas for improvement for PSC. On the basis of results, strategies for promoting wide spread use of PSC are formulated.     

基于PROMETHEEⅡ方法的蓄冷空调方案选择

蓄冷空调以其削峰填谷功能受到电厂;阳用户的欢迎,现阶段主要有冰蓄冷空调、冷却水蓄冷空调、相变蓄冷空调和高温水蓄冷空调4种类型。本文使用PROMETHEEⅡ方法对这4种类型的蓄冷空调从技术、经济和环保等方面进行多指标评价。PROMETHEEⅡ方法以构造优先函数为基础,计算各方案“净流量”,按照净流量对方案进行排序进而选出最优方案。通过计算比较发现,冰蓄冷空调在现阶段是一种最优的蓄冷空调方案。     

基于PROMETHEE法的电镀废水处理技术评价

目前电镀废水处理工艺选择存在较大的盲目性。选择合理的处理工艺,是提高出水水质和运行经济效能的前提。通过对含镉电镀废水处理技术评价参数进行筛选并建立技术评价模型,运用多属性决策分析方法(PROMETHEE法)对含镉电镀废水处理技术进行客观分析和综合评价,实现基于具体处理目标下的含镉电镀废水处理技术优选。评估方法也为其他领域应用提供了借鉴。     

Evaluation of power plants to prioritise the investment projects using fuzzy PROMETHEE method

Increasing population growth of Iran, and consequently, increasing the annual energy consumption has made the construction of more than 3000?MW power plant necessary. Taking into account various criteria, some power plants have been evaluated and ranked to select the most appropriate power plant for investment. For this purpose, three aspects and seven main criteria for evaluating power plants have been determined. Afterward, weights of sub-criteria have been determined by Analytical Network Process method, and eventually, power plants have been ranked by a multi-criteria decision-making (MCDM) method (i.e. fuzzy PROMETHEE II). Moreover, a comprehensive sensitivity analysis has been carried. Finally, power plants have been ranked by fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method once again. Since the value of Spearman Correlation Test for two implemented methods is equal to 0.98, it can be concluded that fuzzy PROMETHEE II performs as well as fuzzy TOPSIS in ranking alternatives.     

基于语言值格蕴涵代数的偏好顺序结构评估决策方法

针对具有可比性和不可比性语言值信息的决策问题,提出基于语言值格蕴涵代数(L_V(n×2))的多属性决策方法.讨论L_(n×2)上的语言值评价矩阵及其性质,提出L_V(n×2)上的优先函数和格值程度差,充分考虑属性值差距信息,将格值程度差应用到择优排序上.通过语言值向量,建立语言值向量合成矩阵,处理决策问题中的多专家多属性信息.引入语言值评价矩阵加权聚合算子对语言值评价矩阵进行聚合,利用偏好顺序结构评估(PROMETHEE)决策方法的非补偿性,构建基于语言值格蕴涵代数的PROMETHEE决策模型,并通过网络商品评价实例说明文中方法的有效性和实用性.     

Mechanical,thermal and morphological properties of heat-treated wood-polypropylene composites and comparison of the composites with PROMETHEE method

ABSTRACT

The aim of the paper was to determine the mechanical, thermal, and morphological properties of heat-treated wood-polypropylene polymer composites (WPCs) and to select the composites having the optimum properties with the PROMETHEE method. In this study, polypropylene (PP) as a matrix, wood thermally treated at 180°C and 220°C as reinforcement filler were examined for preparing composites. The PP composites were compounded using a twin-screw extruder and test specimens were prepared by compression moulding. According to the test results, the thermal and mechanical properties of the WPCs generally increased with the addition of heat-treated wood fillers. The SEM images showed that the wood fillers dispersed better in the PP matrix as the particle size decreased from 40 mesh to 100 mesh. The WPCs having the optimum mechanical and thermal properties were determined for 40 mesh heat-treated wood at 220°C and 20?wt-% loadings with PROMETHEE method.     

基于点击流与PROMETHEE多属性决策法的电子商务消费者购买意愿预测

在电子商务环境下,充分了解消费者的兴趣变化过程并预测其购买意愿是个性化推荐系统需要解决的问题,因此具有巨大潜在信息的点击流数据因其易获性及预测的准确性得到了广泛的研究与应用。为了挖掘用户点击行为所反映消费者的兴趣变化过程并预测消费者的购买意愿,通过点击流数据,基于兴趣漂移理论,采用偏好顺序结构评估法（Preference Ranking Organization Methods for Enrichment Evaluations,PROMETHEE）的多属性决策方法建立有效的模型进行测量与预测。结果建立了包括3个一级指标和8个二级指标构成的多会话消费者购买意愿评价体系,为消费者购买意愿预测提供了一种实用的评价方法。     

一种新的汽车零部件供应商评价方法

在前人研究的基础上提出了包含质量控制、成本控制、生产能力等7个方面指标的汽车零部件供应商评价指标体系。通过分析和比较不同供应商评价方法的优势与不足,提出了网络层次分析法（ANP）与偏好顺序结构评估法（PROMETHEE）相结合的汽车零部件供应商评价排序方法,详细阐述了该方法的计算步骤,并应用该方法进行了算例分析。结果表明,该方法灵活可靠,具有可操作性和实用性,可为汽车零部件供应商的评价和选择提供参考。     

基于PROMETHEE法的加装侦察吊舱的战斗机效能评估

针对改装后加装侦察吊舱的战斗机执行侦察任务的效能,采用多属性决策理论中的偏好排序法(preference ranking organization method for enrichment evaluation,PROMETHEE)对加装侦察吊舱的战斗机效能进行评估,建立了加装侦察吊舱的战斗机效能评估指标体系,并选取3种型号的加装侦察吊舱的战斗机作为评估样本进行实例计算和分析。结果表明,依据净流量值的大小,对3种加装侦察吊舱的战斗机效能进行排序,即:丙机乙机甲机,排序结果与实际情况一致,说明PROMETHEE方法适用于加装侦察吊舱的战斗机效能评估。该研究对提高载机及侦察吊舱性能,发挥综合效能具有一定的参考价值。