Assessment of Effects of Green Construction by Analytic Hierarchy Process and Fuzzy Synthetic Judgment Method

The index system, code system, and weights of indexes are established to assess the effects of green construction. The index system consists of index level, factor level and sub-factor level. The analytic hierarchy process is used to determine the weights of indexes, and the consistency test indicate that the weight assignment is reasonable. Using fuzzy synthetic judgment method, the assessment model is built, which includes factor set, weight set and conclusion set. An example is given to demonstrate the assessment procedures.

Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

According to the World Health Organization(WHO),cancer is the leading cause of death for children in low and middle-income countries.Around 400,000 kids get diagnosed with this illness each year,and their survival rate depends on the country in which they live.In this article,we present a Pythagorean fuzzy model that may help doctors identify the most likely type of cancer in children at an early stage by taking into account the symptoms of different types of cancer.The Pythagorean fuzzy decision-making techniques that we utilize are Pythagorean Fuzzy TOPSIS,Pythagorean Fuzzy Entropy(PF-Entropy),and Pythagorean Fuzzy PowerWeighted Geometric(PFPWG).Ourmodel is fed with nineteen symptoms and it diagnoses the risk of eight types of cancers in children.We develop an algorithm for each method and calculate its complexity.Additionally,we consider an example to make a clear understanding of our model.We also compare the final results of various tests that prove the authenticity of this study.

The Application of Synthetic Fuzzy Assessing Method in Measurement and Control System of Plating Solution Evaporator

The synthetic fuzzy assessing method is usually applied to sensory evaluation. The method has simple and reliable virtue, and it is consistent with objective evaluation results. Using this method, system status of plating solution evaporator is evaluated, and the result is applied to compensate a fuzzy controller. Experimental results have shown the correctness and the validity of the proposed approach.

Prioritizing real estate enterprises based on credit risk assessment:an integrated multi‑criteria group decision support framework

Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.

A Comparative Analysis of Environmental Quality Assessment Methods for Heavy Metal-Contaminated Soils

Four assessment methods （two pollution indexes and two fuzzy mathematical models） were employed to investigate the environmental quality of four soils around a ferroalloy plant in Nanjing City. Environmental quality was assessed as class Ⅳ （moderately polluted） for each soil with single-factor index method, and was identified to be classes Ⅳ, Ⅲ （slightly polluted）, Ⅲ, and Ⅲ for soils A, B, C, and D, respectively, with the comprehensive index model. In comparison with the single-factor index method, the comprehensive index model concerned both dominant parameter and average contribution of all factors to the integrated environmental quality. Using the two fuzzy mathematical methods （single-factor deciding and weighted average models）, the environmental risks were determined to be classes Ⅳ, Ⅲ, Ⅱ （clean）, and Ⅱ for soils A, B, C, and D, respectively. However, divergence of the membership degree to each pollution class still occurred between the two methods. In fuzzy mathematical methods, membership functions were used to describe the limits between different pollution degrees, and different weights were allocated for the factors according to pollution contribution. Introduction of membership degree and weight of each factor to fuzzy mathematical models made the methods more reasonable in the field of environmental risk assessment.

Dynamic assessment method of air target threat based on improved GIFSS

As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set (GIFSS) method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory. Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS (I-GIFSS) and comparison methods. The validity and superiority of the proposed method are verified by calculation and comparison.

A RISK ASSESSMENT METHOD OF THE WIRELESS NETWORK SECURITY

The core of network security is the risk assessment. In this letter,a risk assessment method is introduced to estimate the wireless network security. The method,which combines Analytic Hier-archy Process (AHP) method and fuzzy logical method,is applied to the risk assessment. Fuzzy logical method is applied to judge the important degree of each factor in the aspects of the probability,the influence and the uncontrollability,not to directly judge the important degree itself. The risk as-sessment is carved up 3 layers applying AHP method,the sort weight of the third layer is calculated by fuzzy logical method. Finally,the important degree is calculated by AHP method. By comparing the important degree of each factor,the risk which can be controlled by taking measures is known. The study of the case shows that the method can be easily used to the risk assessment of the wireless network security and its results conform to the actual situation.

Fuzzy-Grey理论在城市环境质量评价中应用的研究——以湖北黄石市大气环境质量评价为例

从研究灰色局势决策的原理出发，综合黄石市环境质量的实际情况，运用ＦｕｚｙＧｒｅｙ模型进行黄石市环境质量评价．在这一过程中，建立了一种新型的隶属度确定模型，使之能更适合于实际情况．同时，应用加权超标法确定出各因子权重．最后得出多目标综合决策矩阵Ｄ（Σ），再通过列最佳局势Ｓｉｊ进行环境质量评价．并将上述过程编成程序，使之更具有实用价值．

基于AHP-Fuzzy和激光点云数据的公路边坡危险性评估研究

针对目前公路边坡危险性评估大多侧重于判断危险等级,很少深入研究其中具体危险点的问题,提出一种基于AHP-Fuzzy和激光点云数据的公路边坡危险性综合评估方法。该文先根据地质条件将公路边坡划分为若干路段,再采用AHP-Fuzzy评价法对各路段边坡进行整体评估,确定危险边坡;然后利用车载LiDAR系统获取各危险边坡两期激光点云数据,构建DEM模型,并使用色谱分析法对两期模型进行局部评估,找出具体的危险点;最后结合专家意见,定性判断危险路段可能发生的灾害类型,并提出相应的防治建议。以重庆市某公路为例,采用新方法进行评估实验。结果表明,研究区4、8、10号路段危险性较大,易发生滑坡、崩塌灾害,建议采取及时的防治措施。与传统方相比,该方法既能确定危险边坡,又能找出其中的具体危险点,为公路边坡防灾减灾研究开辟了一种新思路。

基于AHP-Fuzzy法的灰岩地区崩塌体失稳危险性评价

危岩崩塌体的形成是多种影响因素综合作用的结果,且影响因素具有复杂性与模糊性的特点。基于AHP法,通过分析影响三峡库区灰岩地区崩塌体发育的各种因素,选取地形和地质条件、崩塌体几何特征及其他3个因素作为准则层,遴选出了陡崖高度、陡崖结构特征、陡崖所处地质构造、崩塌体规模、主控结构面倾角、主控结构面贯通度、日最大降雨量、风化作用、地震烈度及人类工程活动等10个评价指标作为子准则层,构成了AHP法的层次结构,建立了危险性评价指标体系。将层次分析法和模糊综合评价法有机结合,构建了三峡库区灰岩地区崩塌体危险性模糊综合评价模型。通过工程实例磨子岩W1,W2,W3三个危岩体对该评价模型进行了检验,磨子岩危岩危险性评价结果符合磨子岩危岩整体稳定性较差,已经发生部分崩塌,危险性极大的客观实际,表明构建的三峡库区灰岩地区崩塌体危险性评价模型具有较好的的适用性。

Delphi-Fuzzy方法在海底管道工程风险评价中的应用

为了提高海底管道通航安全风险评估的精确性,采用Delphi-Fuzzy方法建立工程通航安全风险评估的评价指标和数学模型.并通过实例验证了这种评价方法的科学性与准确性.

结合Fuzzy-ANP和灰色评价的管制系统运行质量评估模型

在保证管制系统安全运行的前提下,提高空中交通管制系统的运行质量可以提高航空运输效率、降低运行成本、减少空中交通拥堵,而评估管制系统运行质量的水平是提高运行质量的前提,因此有必要对管制系统的运行质量进行评估。分析了管制系统的动态运行过程以及各个过程的影响因素,建立了管制系统运行质量评估指标体系,利用网络层次分析法分析各指标的相关性,计算出指标体系中各层指标的权重,根据灰色综合评价方法建立了管制系统质量评估模型。算例表明,模型具有有效性和实用性。

运用Fuzzy综合评判方法考核教师的优越性和可行性

论述了运用Ｆｕｚｙ综合评判方法，比采用《广州体院教师考核试行办法》考核教师具有更大的优越性、科学性和合理性。

基于AHP—Fuzzy的农村承包经营土地托管风险评价——以新疆玛纳斯县为例

为保证土地托管可持续良性发展,推动农业规模化经营,促进农业现代化发展,以新疆玛纳斯县为样本总体,基于236份问卷调查数据,运用层次分析法和模糊综合评价法构建风险评估模型,分别对各项指标权重、评价因素及样本区总的风险值进行计算与分析。结果表明:玛纳斯县农村承包经营土地托管的综合风险值为52.85,风险等级处于中间位置,说明进行土地托管的农户其风险承受力较强,对于风险承受力低的农户不建议将承包经营的土地进行托管。土地托管各类风险水平具有差异性,其中,市场风险是玛纳斯县农村承包经营土地托管过程中最易发生的风险,其次依次是自然风险、经营风险、财务风险、政策风险和契约风险。农产品市场价波动、利益分配、风险预防和监督机制是影响土地托管风险的重要因素,应作为农户选择土地托管组织时的重要衡量指标。

货物库存风险评价的两阶段fuzzy-AHP模型

当前库存管理已经成为公司控制产品成本的一项主要指标.库存管理不仅能够保证货物的有效储存,同时也是保证公司的运作和生产效率的一种手段.通过对库存内部与外部各种影响因素进行深入分析,利用两阶段fuzzy-AHP模型,对货物库存的风险可能性及风险重要性进行评价;然后,将两种不确定性风险转化为可度量的量值,并通过比较不同仓库的库存风险系数,选择最优的存储方案,以及在最优存储方案下明确企业最应该关注的风险因素.

FUZZY概率法在地下水环境质量评价中的应用

概要叙述了FUZZY概率法的原理及其在环境质量评价中的应用方法,就阜新新邱露天煤矿排土场淋溶水对附近于家沟地区地下水环境质量的影响进行了评价研究。采用FUZZY概率法对影响区地下水质量进行了评价,确定出该区域地下水环境质量等级,为于家沟地区地下水的污染治理工作提供了可靠的科学依据。

基于AHP-FUZZY方法的服务企业创新能力评价研究——以KIBS企业为例

文章在梳理国内外相关文献的基础上,分析了影响知识密集型服务业创新能力的因素,并据此提炼出关键性的影响要素,运用层次分析法和专家意见法构建了知识密集型服务企业创新能力的评价指标体系。基于评价指标具有一定的模糊性和难以量化的特点,利用模糊层次评判模型构建企业创新能力的评价模型。最后选取浙江典型的知识密集型服务企业实例进行实证分析,进一步来验证该评价模型在实际企业创新能力评价中的有效性。

基于AHP-Fuzzy法的西安小寨水灾害防控效果评价

为科学合理地评价城市水灾害防控能力,在采用高效高精度的二维城市雨洪模型对西安小寨水灾害防控建设区下垫面条件建设改变前后内涝削减与污染物输移过程进行数值模拟的基础上,结合老城区本底特性与其他相关建设内容,基于AHP-Fuzzy法构建城市水灾害防控效果的指标评价体系。依据此套评价体系,对研究区域水灾害防控建设前后水灾害防控能力进行了综合评价,量化了研究区域水灾害防控效果。AHP-Fuzzy法的评价结果表明,经过一系列城市水灾害防控建设,小寨区域城市水灾害防控能力从建设前的良好提升至建设后的较好,评价结果反映了城市水灾害防控建设的必要性。

基于AHP-FUZZY与SVM理论电网雷害风险评估

为了对电网遭受雷击灾害风险进行研究,以高压输电线路多个雷害影响因子为出发点对其进行归类,解决了以单因子雷击跳闸率作为高压输电线路遭受雷害评价指标的不足。采用AHP(层次分析法)-FUZZY(模糊数学理论)对电网雷害风险展开评估分级,引入某地500 k V电网工程实例,成功将该地电网雷害风险等级定为Ⅲ级中等雷害风险。为验证AHP-FUZZY法对电网雷害风险进行评估的准确性及可靠度,采用SVM(支持向量机)理论对工程实例进行分析计算,结果相关性系数R2为0.932,预测错误率为0,表明本次风险评估是可靠的,能够为电网雷害风险研究提供较大的理论与实际支撑。

基于APH & Fuzzy Sets法的复杂目标毁伤评估

复杂目标在现代武器装备及设施之中越来越常见,在经受损毁后对其毁伤情况进行科学准确地评估分析具有极为重要的应用价值。基于此,文中提出一种新的基于二次模糊综合评价法的评估模型,该方法首先将复杂目标进行层级划分,以建构毁伤树模型,在此基础上以重要程度为标准使用层次分析法确定各种潜在影响因素的权重值,最后借助模糊综合评价法对定性的毁伤程度进行量化分析,进而实现对毁伤严重程度的层级划分。以复杂舰艇为例的模型仿真结果证明,该方案能够在尽可能还原真实毁伤场景的情况下有效实现对复杂目标毁伤程度的分级评估,具备充分的可行性和较强的实用性。