Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method

Nowadays selection of the appropriate treatment method in health-care waste (HCW) management has become a challenge task for the municipal authorities especially in developing countries. Assessment of HCW disposal alternatives can be regarded as a complicated multi-criteria decision making (MCDM) problem which requires consideration of multiple alternative solutions and conflicting tangible and intangible criteria. The objective of this paper is to present a new MCDM technique based on fuzzy set theory and VIKOR method for evaluating HCW disposal methods. Linguistic variables are used by decision makers to assess the ratings and weights for the established criteria. The ordered weighted averaging (OWA) operator is utilized to aggregate individual opinions of decision makers into a group assessment. The computational procedure of the proposed framework is illustrated through a case study in Shanghai, one of the largest cities of China. The HCW treatment alternatives considered in this study include “incineration”, “steam sterilization”, “microwave” and “landfill”. The results obtained using the proposed approach are analyzed in a comparative way.     

基于粗糙集-人工神经网络的航空安全文化评价模型研究

根据航空运输企业安全生产系统的特征,制定相对科学的、适用的安全文化评价指标体系。将粗糙集、人工神经网络方法应用于航空安全文化评价研究。首先,通过问卷调查与粗糙集方法相结合,对安全文化评价指标信息表进行设定。利用粗糙集的属性约简功能,确定航空安全文化的核心要素;其次,利用人工神经网络对约简后指标权重进行计算;经过仿真实验,训练后的神经网络较好地获取并保存了安全文化评价的知识和经验,能够较为准确地对航空安全文化进行评价。     

A FUZZY SETS MODEL FOR MEASURING THE EFFECTIVENESS OF PUBLIC PARTICIPATION IN WATER RESOURCES PLANNING1

Mathematical modeling of complex water resources System problems, particularly water pollution control, is aided by fizzy set theory. Public participation in large scale federally funded water resources and pollution control projects is now a federal requirement and practice of various planning agencies. However, no systems based model for quantifying and measuring the effectiveness of public participation is known to exist. In this paper, we report a fuzzy set based model developed for doing this in areawide water resources planning The model is essentially cascade in nature and employs the concepts of fuzzy pessimistic and optimistic aggregations to cluster and analyze the evaluations of the basic factors. Sample computations of the model are provided.     

Sustainability at the Local Scale: Defining Highly Aggregated Indices for Assessing Environmental Performance. The Province of Reggio Emilia (Italy) as a Case Study

In order to achieve improved sustainability, local authorities need to use tools that adequately describe and synthesize environmental information. This article illustrates a methodological approach that organizes a wide suite of environmental indicators into few aggregated indices, making use of correlation, principal component analysis, and fuzzy sets. Furthermore, a weighting system, which includes stakeholders’ priorities and ambitions, is applied. As a case study, the described methodology is applied to the Reggio Emilia Province in Italy, by considering environmental information from 45 municipalities. Principal component analysis is used to condense an initial set of 19 indicators into 6 fundamental dimensions that highlight patterns of environmental conditions at the provincial scale. These dimensions are further aggregated in two indices of environmental performance through fuzzy sets. The simple form of these indices makes them particularly suitable for public communication, as they condensate a wide set of heterogeneous indicators. The main outcomes of the analysis and the potential applications of the method are discussed.     

基于粗糙集——粒子群神经网络的建设项目安全预测研究

回顾施工项目安全管理和安全管理研究现状,建立建设项目安全管理指标体系。利用人工神经网络非线性函数逼近能力,对项目风险因素程度预测。针对该网络当数据量大时,其结构复杂、收敛慢,易陷入局部最优的缺点,引入粗糙集对影响建设项目安全目标的不确定性因素进行约简,找出最小不确定性风险因素集,大大简化网络输入信息的表达空间维数。并结合粒子群算法收敛速度快、全局最优的寻优能力强的优点,建立基于粗糙集——粒子群神经网络的建设项目安全预测系统。通过实例验证该系统的科学性和有效性。     

土地级别的不确定性

根据Rough集理论，提出了土地级别不确定性模型和精度测度模型，用精度测度表示确定性分类精度和不确定性分类精度，以及分析了土地定级中级别划分的不确定性和不同级别分类质量的变化规律。     

济南地下水资源系统多目标管理模型及模糊带权方法

根据济南地下水资源系统管理研究,建立了济南地下水资源系统多目标管理模型;利用模糊数学理论,提出一种模糊带权方法,它能同时解决互为矛盾、互为竞争的各目标之间的不可比性和主次性问题。实际计算表明,本文建立的多目标管理模型和提出的方法是合理的和有效的。     

基于关系矩阵和模糊集合的煤与瓦斯突出综合评价

用关系矩阵确定表征各影响因素在煤与瓦斯突出地位中的因素活动性指数，并利用模糊集合理论中的隶属变化量化手段确定单因素分级指数，最后综合两种指数求得反映煤与瓦斯突出的危险性系数。此方法在平顶山煤业集团预测煤与瓦斯突出中的应用表明：基于关系矩阵和模糊集合的煤与瓦斯突出综合评价是可行的。     

增压式柴油发电机组的噪声治理技术

增压式柴油发电机组由于柴油机增压，使气流阻力增加。在对它进行降噪处理时，特别要控制其排气消声通道的压力损失。最关键的还是降低通道各器件中的流速。     

西安市大气环境质量分析与综合评价研究

对西安市大气环境中二氧化硫、氮氧化物、总悬浮微粒和降尘等四种主要污染物的平均浓度随时间变化趋势做了初步分析 ,并利用模糊综合评判模型对各年大气环境质量状况进行了综合评价 ,最后指出积极改善西安市大气环境质量的必要性