Why buy organic rice? genetic algorithm‐based fuzzy association mining rules for means‐end chain data

While empirical studies of organic food consumption have centred primarily on European and North American countries, the amount of research occurring in Asian countries is increasing. This article describes the attributes, consequences, and values influencing consumer perceptions and adoption of organic rice in Taiwan, where rice is the major food. Based on a means‐end chain (MEC) rationale, regulatory focus theory and self‐construal theory, this article describes the attributes, consequences and values influencing Taiwanese consumer perceptions and adoption of organic rice. Using a questionnaire and a sample of 300 organic food shoppers in Taiwan, we applied the MEC technique in a different fashion via the proposed genetic algorithm‐based fuzzy association mining rules (GFAMR) algorithm to depict the attribute‐consequence‐value links to purchasing organic rice. This study has at least two merits: (a) it is among the first integrating regulatory focus theory, self‐construal theory and MEC to explore the reason why Taiwanese consumers purchase organic rice and (b) it introduces a new method to quantitatively deal with MEC analysis. The results show that the most important ultimate values are fun and enjoyment in life and security, which are in line with the promotion focus and prevention focus, respectively, of regulatory focus theory. Furthermore, we found three consumer segments related to organic rice: prevention focused housekeepers, promotion‐focused egoists, and promotion‐focused (meta‐personal self) altruists. The different paths found in the results can also provide green companies and policy makers with more information about organic rice consumers, allowing them to craft better marketing and communication strategies by which to promote organic food.     

企业人力资源水平的模糊综合评价

在对人力资源水平的内涵进行理论分析的基础上,将企业人力资源水平分为基础层、文化层及管理层三个层次,进而提出一种定性与定量相结合的评价指标体系,并采用模糊综合评价方法进行了实证分析,以期帮助企业正确认识并评价其人力资源水平。     

国有农场经济发展绩效的模糊综合评价——以E农场为实证样本

通过对常用的几种企业绩效评价方法的比较分析,明确了它们的缺失,并针对存在的问题,建立了综合我国国有资本金绩效评价体系和模糊综合评价方法的评价方法,并以黑龙江垦区有代表性的E国有农场为样本,进行了实证分析,以期找到能够客观、全面评价垦区经济发展绩效的方法。     

Neural network application for fuzzy multi-criteria decision making problems

In this paper, a fuzzy multi-criteria decision making model is presented based on a feed forward artificial neural network. This model is used to capture and represent the decision makers' preferences. The topology of the neural network model is developed to train the model. The proposed model can use historical data and update the database information for alternatives over time for future decisions. Basically, multi-criteria decision making problems are formulated, and neural network is used to learn the relation among criteria and alternatives and rank the alternatives. We do not use any utility function for the modeling; however, a unique method is proposed for eliciting the information from decision makers. The proposed model is applicable for a wide variety of multi-attribute decision making problems and can be used for future ranking or selection without managers' judgment effort. Simulation of the managers' decisions is demonstrated in detail and the design and implementation of the model are illustrated by a case study.     

区域综合交通运输体系发展评价研究

综合交通运输体系是未来我国交通发展的重点方向。结合综合交通运输体系特点,从规模、结构、服务品牌和效益4个方面构建了区域综合交通运输评价指标体系,在此基础上通过德尔菲法确定指标权重,采用正态分布作为隶属函数,构建了基于模糊综合评价的区域综合交通运输体系发展综合评价方法。最后通过实证分析验证了该评价体系和方法的有效性和实用性。     

城市群体建筑物震害类比预测方法研究及应用

快速准确地预测城市建筑物在地震发生后的震害情况,对地震后的应急救灾起着至关重要的作用,文章对传统的城市建筑物震害类比法进行了优化,在对不同震害影响因素进行分析确定的基础上,通过模糊层次分析法分别对不同结构类型的不同影响因素设置不同的权重,突出了不同影响因素对结构抗震性能的影响,使预测的结果更加准确.运用Acess建立了样本数据,使用优化的类比预测方法能够在较少的投资和较短的时间下,迅速给出城市的震害预测结果.并以某市高层建筑震害预测为例说明该方法的可靠性.     

基于模糊综合评价法的我国城市贫困人口医疗救助系统的评价

目的:对我国城市贫困人口医疗救助系统进行系统划分、绘出因果关系图,并对所构建的我国城市贫困人口医疗救助系统进行系统评价。方法:用VENSIM软件绘出系统因果关系图,采用模糊综合评判法评价系统。结果:成功的绘出了我国城市贫困人口医疗救助系统的因果关系图并对我国城市贫困人口医疗救助系统进行了评价。结论:所构建的我国城市贫困人口医疗救助系统是具有可行性和针对性的系统。     

智能简支梁的模糊控制及仿真实现

研究压电智能简支梁的振动主动控制。通过分析简支梁在受到外部激励后,梁中点的振动过程,建立一个符合梁中点运动过程的模糊控制规则。采用以梁中点的位移和速度为输入变量,对梁施加的控制力为输出变量的方法,设计一个模糊控制器。通过使用Matlab对此过程进行仿真实验,结果表明采用这种方法能够更有效的控制简支梁的振动。     

模糊聚类分析在股票分析中的应用

在进行股票投资的时候,需要分析和选择那些获利能力强,财务状况良好的股票,以减少投资风险。但是股票评价指标又有许多种,他们的含义各有不同,如何把各种指标综合在一起是非常重要的。应用模糊聚类分析方法对股票市场上商业贸易板块样本股票进行了分类,综合多项财务指标来反映上市公司的盈利能力和发展水平,为分类和评估上市公司的优劣提供了很好的依据。     

住宅建筑节能效果综合评价研究

住宅建筑的节能效果受多种因素共同影响,如何对其节能效果进行客观、准确的评价,是建筑节能领域研究的重点内容。本文在充分考虑国内外关于住宅建筑节能效果的评价标准和技术的基础上,构建了建筑节能效果评价指标体系。并根据此体系,建立了基于层次分析法和模糊数学的数学模型,从定量的角度对住宅建筑节能效果进行了综合评价。本文算例验证了模型的可行性和实用性。