Fuzzy Synthetic Evaluation of Water Quality of Naoli River Using Parameter Correlation Analysis

In order to improve the effectiveness of Fuzzy Synthetic Evaluation (FSE) models, a Parameter Correlation Analysis (PCA) was introduced into the FSE and a case study was carried out in the Naoli River in the Sanjiang Plain, Northeast China. The basic principle of the PCA is that the pairs of parameters which are highly correlated and linear with each other would contribute the same information to an assessment and one of them should be eliminated. The method of the PCA is that a correlation relationship among candidate parameters is examined before the FSE. If there is an apparent nonlinear or curvilinear relationship between two parameters, then both will be retained; if the correlation is significant (p<0.01), and the scatter plot suggests a linear relationship, then one of them will be deleted. However, which one will be deleted? For solving this problem, a sensitivity test was conducted and the higher sensitivity parameters remained. The results indicate that the original data should be preprocessed through the PCA for redundancy and variability. The study shows that introducing the PCA into the FSE can simplify the FSE calculation process greatly, while the results have not been changed much.

FUZZY SYNTHETIC EVALUATION ON RESIDENT'S PERCEPTIONS OF TOURISM IMPACTS——Case of Jiuzhaigou National Park, Sichuan Province, China

Tourism can have both positive and negative outcomes for residents in tourism destinations, It is a good method to analyze the status of tourism impact by means of investigating residents＇ perceptions of it. Various methods have been used in previous authoritative studies. However, owing to inherent imprecision, difficulties always exist in some conventional methodologies when describing the interpretation of linguistic or measured uncertainties for real-world randoln phenomena. The purpose of this research is to present the fuzzy synthetic evaluation method to investigate residents＇ perceptions of tourisln impacts. At first, basic attributes and a hierarchical framework of tourism impacts are defined and formed. Secondly, the weighted vectors are determined according to the knowledge and experience of experts. Thirdly, the weighted evaluation matrices are aggregated to get the fuzzy sets of tourism impacts. In the last stage, the final fuzzy sets are defuzzified to get the rank of the residents＇ perceptions of tourism impacts. A case study in Jiuzhaigou National Park of China is provided to demonstrate the application of this method.

Fuzzy synthetic assessment of building fire safety system

A multistage assessment index set is chosen based on the analysis of building fire safety system, whereby the weight of each index is determined through an analy tie.hierarchy process; a fuzzy synthetic assessment model for the building fire safety system is constructed, and the quantified result was obtained by using hierarchy parameter judgment. This fuzzy synthetic assessment method can quantify assessment result of the building fire safety system, so thatthe fire precautions may be accurately adopted, and the serious potential risk may be avoided. The application shows that this method possesses both objectivity and feasibility.

Research on Fuzzy Synthetic Evaluation of Stamping Process Scheme

Stamping process,which is widely used in automobile,aerospace,machine-building industries,and etc.,is a creative process needing time and experiences.The lead time is mainly spent on stamping die design and manufacturing.As the ba- sis of die design,process design is a non-linearity and creative process,which can be solved by using the fuzzy synthetic evaluation. In this paper,the potential o f fuzzy synthetic evaluation for dealing with stamping process design was explored.The influencing factor set,factor weight set,evaluation set,single factor fuzzy evaluation matrix,and fuzzy synthetic evaluation scheme were studied.Finally,the washer part,considering forming equipment,part dimensions and other factors,was selected to testify the evaluation process.

Thickness and Shape Synthetical Adjustment for DC Mill Based on Dynamic Nerve-Fuzzy Control

Due to the complexity of thickness and shape synthetical adjustment system and the difficulties to build a mathematical model,a thickness and shape synthetical adjustment scheme on DC mill based on dynamic nerve-fuzzy control was put forward,and a self-organizing fuzzy control model was established.The structure of the network can be optimized dynamically.In the course of studying,the network can automatically adjust its structure based on the specific questions and make its structure the optimal.The input and output of the network are fuzzy sets,and the trained network can complete the composite relation,the fuzzy inference.For decreasing the off-line training time of BP network,the fuzzy sets are encoded.The simulation results indicate that the self-organizing fuzzy control based on dynamic neural network is better than traditional decoupling PID control.

FUZZY SYNTHETICAL EVALUATION ON THE GOVERNMENT OFFICIALS’ CONSCIOUSNESS ON THE IPE BASIS

Government policy is the key to the development of the individual and private economy (IPE).In the making of a policy, the social consciousness of government officials is one of the important factors to affect the policy made. Since the social consciousness on the development of IPE varies from person to person, it is conventionally indefinite and fuzzy. This paper applies fuzzy sets to analyse the government officials’ social consciousness on the IPE basis.

Fuzzy Synthetic Evaluation for Quality of Clothing Industry's Salesman

It is essential for the human resource management to establish a scientific and efficient evaluation system for the clothing industry. This paper discusses the evaluation system for the quality of clothing industry's salesman, using fuzzy set theory from the following five aspects: basic quality,work attitude, knowledge level,work ability and work achievement. A just and useful way for the human resource manager to evaluate employees' quality is elaborated.

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.

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.

THE FUZZY SYNTHETIC JUDGEMENT OF CORRELATING PARAMETER OF FIGHTER DESIGN

An expression of correlating parameter is developed which can be used to synthetically express the close combat maneuverability of fighters by the method of fuzzy mathematics. On the basis of analysis of fighter maneuvering performances, this paper proposes the parameters ωA,ωs, and SEP to measure the maneuvering performances. The linear weighted method, which is one of the basic methods of transforming several objects to a single object in mathematics programming, is used to determine the form of the correlating parameter expression. The focal point of this paper's work is to determine the weight coefficients of maneuvering performances in the expression. In order to solve this problem, the inverse problem of synthetic judgement in fuzzy mathematics is employed. The development of the equation of fuzzy relationship in this paper is based on the judgement data, which are gathered from many experts working in aeronautical field. Therefore, the expression of correlating parameter developed by this paper can be used in the design object at aircraft conceptual design stage and the judgement of synthetical measurement of the maneuverability of fighters.

Study on Multilevel Fuzzy Synthetical Evaluating Model of Science ＆ Technology Awarding

In order to realize the impersonality, justness, impartiality and rationality in the awarding work of science ＆ technology, it is necessary to establish an evaluating model to make the evaluating course numeric as well as a complete system of evaluating indexes. The theory of fuzzy mathematics is adopted in this paper to establish a multilevel fuzzy synthetical model to quantitate the evaluating index system for science ＆ technology awarding and to provide the scientific decision-making basis for science ＆ technology awarding.

Fuzzy Synthetic Evaluation Model for Smart Washing Machine

Generally fuzzy control system (FCS) is worked in washing machine. For the fuzzy set theory, membership functions are the building blocks. In a fuzzy set, fuzziness is determined by its membership functions. The shapes of membership functions are important, because it has an effect on fuzzy inference system. The shapes of membership functions can be triangular, trapezoidal and gaussian. The most widely used triangular membership function is used in this paper, because it can capture the short time period. In washing machine, open loop control system is found. This paper applies a fuzzy synthetic evaluation method (FSEM) for washing cloth in washing machine as FSEM can handle the multiple criteria with the help of evaluation matrix generated from membership function and weight matrix generated by Analytical Hierarchy Process (AHP). The purpose of this research is to minimize the wash time. By applying FSEM, we get a wash time which is less than that wash time got from applying the Mamdani approach in FCS. An example is given for illustration. For more reduction of wash time, statistical averaging method is also used. To reduce the wash time, statistical averaging method can be used in Mamdani approach also.

Application of fuzzy optimization model in the evaluationof urban flood-waterloggedvulnerabilitybased on the synthetic weight ofgame theory

The evaluation of urban flood-waterlogged vulnerability is very important to the safety of urban flood control. In this paper, the evaluation of consolidated index is used. Respectively, AHP and entropy method calculate the subjective and objective weight of the evaluation indicators, and combine them by game theory. So we can obtain synthetic weight based on objective and subjective weights. The evaluation of urban flood-waterlogged vulnerability as target layer, a single variable multi-objective fuzzy optimization model is established. We use the model to evaluate flood-waterlogged vulnerability of 13 prefecture-level city in Hunan, and compare it with other evaluation method. The results show that the evaluation method has certain adaptability and reliability, and it＇ s helpfid to the construction planning of urban flood control.

Synthetical condition assessment of long span suspension bridge based on closeness degree and FAHP

Based on the theory of pattern recognition, the concept of closeness degree between fuzzy sets is brought into the condition assessment of long span bridges. Using the fuzzy analytic hierarchy process （FAHP）, a mathematical model of a multi-objective assessment of a long span suspension bridge is set up. An example is given to show the procedure in the synthetical condition assessment of the Runyang Suspension Bridge, which includes the hierarchical division, the definition of factor weights and fuzzy membership functions, and the calculation of closeness degrees, etc. The assessment combines both the data from the health monitoring system and the manual tests. The classification of evaluation items as well as the calculation of deterministic and nondeterministic items is presented. Compared with the traditional method of point rating, this method can better describe the discreteness of monitoring data and the fuzziness in the condition assessment.

APPLICATION OF MECHANICAL RELIABILITY PREDICATION BASED ON FUZZY THEORY

Mechanical reliability prediction (MRP) is an important task of mechanical reliability design. In the initial design stage (IDS), the lack of reliability data and some fuzzy characteristics of MRP make this work hardness. Because fuzzy synthetical assessment (FSA) can well utilize expert′s experience and fuzzy data, it is used to assess the influence factors of reliability. On the basis of the assessed results, the predicted value of reliability is inferred by the fuzzy inference system (FIS). This approach particularly suits to predict the reliability of complex machinery (including other products) in IDS, so that it can remedy some defects of the existing methods. An example is discussed to interpret how to utilize it.

基于AHP-FUZZY多层次评判的城市轨道交通线网规划方案综合评价

通过对城市轨道交通线网规划的研究和分析,指出城市轨道交通已成为当前大城市交通发展的一项重要内容,在此基础上,建立线网规划的分层评价指标体系.针对现有综合评价方法的不足,将层次分析法和模糊综合评价法相结合,建立了多层次模糊综合评价模型.利用该模型对某市城市轨道交通线网规划方案进行了综合评价,证明所建立的评价模型能利用全部信息,使那些表面上看起来复杂的方案能够有序排列出优劣次序,且能使经验和理论结合起来.排序结果能够比较客观公正地反映城市轨道线网规划综合评价的实际情况,可以为城市轨道交通网络规划方案的评价及方案优选服务,避免因主观原因而造成的评价偏差.

基于AHP-FUZZY的充填站位置选择

运用层次分析法和模糊数学的基本原理对多种充填站位置方案进行了综合评判优选。评判优选过程中,综合考虑了影响充填站位置的基建总成本、运营成本、最大充填倍线、管理难易程度和征地难易程度等指标;将待选择方案指标转换成隶属度矩阵,通过层次分析法得到各因素权重向量;从而建立模糊综合评判模型,利用模糊数学原理计算出各方案基于影响因素的综合优越度。以新桥矿为例,得出待选充填站方案的优越度分别为75.23%、89.45%、82.54%,从而确定第二种方案最优。

AHP-Fuzzy综合评价法在高层结构量化选型中的运用

高层建筑结构选型受到多种因素的影响。文章采用基于层次分析法的模糊综合评价法,对高层结构选型中的主要影响因素进行量化,建立相应的判断矩阵、目标函数,同时将其中难以量化、不易确定的因素进行模糊处理,最终在结构选型过程中,更加科学、快速、合理地确定出结构的最佳方案。

Fuzzy综合评价模型在京杭大运河扬州段水质评价中的应用

建立了一种新的水质综合评判模型——Fuzzy综合评价模型,并应用于京杭大运河扬州段的水质综合评价中。以模糊概率理论为基础,求出污染因子对于水质级别的隶属函数,将各个污染因子的隶属度与权重向量进行复合运算,所得隶属度最大的级别即为水质级别。在9项评价指标中,溶解氧、高锰酸盐指数、5日生化需氧量和氨氮4项权重较大,说明水体中污染物主要为有机污染物。2001—2006年间,京杭大运河扬州段整体水质状况为:2004年Ⅱ级水质,其余为Ⅲ级或Ⅲ级以上,所得结论与实际相符。与其它评价方法相比,模糊综合评价模型具有系统性、综合性和评价结果的可比性,并克服了权重难以分配和分级界限的模糊性的不足,可应用于水质评价指标众多、评价等级较多的复杂系统。

城市路网交通拥堵H-Fuzzy评判方法研究

根据城市路网交通拥堵的空间分布特点将路网交通拥堵划分为路段拥堵和交叉口拥堵,参考城市道路和交叉口服务水平的划分标准将路网交通拥堵度划分为堵塞、拥堵、较拥堵、较畅通、畅通5个等级,选取了路网交通拥堵的判定指标,运用层次分析法建立了路网交通拥堵的二级评判指标体系及相应的H-Fuzzy综合模糊评判模型,最后对一典型路网交通拥堵状况进行了判定,研究成果对于评估城市交通网络拥堵提供了一种有效的定量分析方法。