Application of improved FAHP in schemes optimization about landslide treatment

Based on the landslide control scheme optimized by considering technical index and other factors,a landslide comprehensive control thought of “treating scheme optimization combined monitoring information feedback” is put forward.The multi level hierarchical comprehensive evaluation index on landslide control scheme is set up on the basis of analyzing many engineering examples,and formula of weight,fuzzy complementary judgment matrix and the consistency check method of judgment matrix of fuzzy analytical hierarchy process are given,the solution of multi objective decision problems based on improved fuzzy analytical hierarchy process is developed,too.Validity and reliability of this method is proved through the scheme selection for Xiangjiapo landslide control.It provides an effective method for construction decision makers.     

Design of GIS-based monitoring and maintenance decision support system for urban sewage pipe network

Monitoring and maintenance of sewer system is important to city water environmental management. A method for pipeline monitoring and maintenance decision support system (PMMDSS) based on geologic information system (GIS) and decision making system (DSS) is developed for upgrading sewer system maintaining efficiency. Visual basic (VB) and standardized Active X components are employed in PMMDSS, which selected SuperMap Objects as the development platform. PMMDSS integrates the spatial and model system to achieve the decision analysis for the sewer system monitoring and maintenance. An application Software is developed based on a case study in Yuechi Country of Sichuan Province. The software can be used to dynamically monitor the heath condition and provide an optimum visual decision making platform for the city sewer system.     

Intelligent simulation of complex production systems including expert decision

Expert’s decision process plays an important role in production systems. To simulate complex production system including expert decision, an intelligent simulation strategy of complex production system based on interactive simulation and knowledge mining is proposed. The simulation principles and methodology are described. Key technologies of expert decision process simulation are studied in detail from the aspects of simulating algorithm and software programming. The simulation strategy is used and verified in a universal rail production line. Simulation results indicate that the intelligent simulation model can effectively describe complex production system including expert decision. It provides a new method for human machine cooperation and human decision making process study in production systems.     

Pre-bid Decision-making Process Based on Artificial Neural Networks Technology

There are complicated non-linear relations among influence factors, and between influence factors and decision - making results, which cannot be handled by common analytical method effectively. So the ANN technology was applied in the pre-bid decision-making processes. An indicator system of influence factors for pre-bid decision-making process was built based on extensive investigations, comparisons and analyses, with due considerations to the ANN analysis requirements. And then the criterion and method for quantifying the indicators were put forward by quantificational methods and fuzzy theories. An ANN model for pre-bid decision- making process was constructed and performed in Matlab, which has powerful learning ability and fast learning speed. The model was verified by a few examples from engineering practice.     

Selection of Polymeric Flocculant for Adjusting the Sludge Quality of Municipal Wastewater Treatment Plants

The thickened surplus sludge from municipal wastewater treatment plants is generally mechanically dewatered after regulated with flocculants and the type and dosage of flocculants will influence the dewatering effect directly.And the cost of flocculants is the main part of operating cost of sewage sludge treatment.With the processing practice on yields,thickening and dewatering pattern of Zhenjiang Wastewater Treatment Plant,the analysis and selection of flocculants are carried out with respect to the type and dosage of flocculants for sewage sludge regulation.the principles for flocculants selection and simple calculation method for chemicals cost for sludge treatment are proposed.It is suggested that the dosage of flocculants for sludge regulation should be adjusted in different seasons in real operation of the municipal wastewater treatment plants.     

Water Quality Forecasting Method Based on Compensative Fuzzy Neural Network

The forecasting of water quality variation is very important in the process of sewage treatment, which helps the control system work reliably and steadily. In this paper, the compensative fuzzy neural network (CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are introduced. Considering its features as fast speed, steady studying course, global dynamic optimization, CFNN is applied to establish water quality forecasting model. The practical example indicates that the model is not sensitive to initial parameters and has better forecasting precision and faster convergence.     

Fuzzy fault diagnosis for a regenerative heating systembased on a Kohonen neural network

Twelve typical faults and fuzzy treatment of nine symptom parameters were analyzed. A fault diagnosis method for a fuzzy Kohonen neural network was proposed based on diagnostic working principles and specific features of a Kohonen neural network. The application of the method shows the following merits: a self learning function, rapid operating speed, and strong grouping capability. The fuzzy Kohonen neural network can diagnose single and multiple faults. It is an effective and suitable method for fault diagnosis of the regenerative heating system of the steam turbine unit.     

A Decision-Making Framework Model of Tool Selection for Green Manufacturing and Its Applications

Pursuing the green manufacturing of products is beneficial to the alleviation of environment burdens. In order to reap such benefits, green manufacturing is involved in every aspect of manufacturing processes.The optimization selection of tool is one of the important approach to improve environmentally performance of cutting machining. The objective factors of decision making problems for traditional tool selection are usually the following, quality and cost.Based on the main idea of environmentally conscious and decision making framework model of green manufacturing proposed by the authors, an multi object decision making model for tool selection is put forward. The objects includes Time(T),Quality (Q),Cost(C), Resources(R) and Environment impact(E), where T aims to minimize the produce time,Q means to maximize the quality,C means to minimize the cost, R means to minimize the consume the resources and E means to minimize the environment impact respectively. Each object is analyzed in detail and integrated the Fuzzy Clustering Analysis Algorithm together with the expert judging method apply to the model too. A case study in which a practical decision making problem for tool selection in green manufacturing machining is analyzed. Successful application of above model shows the model is practical .     

Improved Analytic Hierarchy Process Used in Optimal Selection of Waste Water Treatment Process

The improved Analytic Hierarchy Process is adopted for the optimal decision of waste water treatment process. The unified test of traditional method is avoided owing to using the three scale method and inducting the optimum transfer matrix and then converting into the unified judgement matrix. It is proven by example that it is feasible to use the improved Analytic Hierarchy Process in the optimal decision of the waste water treatment process.     

Fuzzy Control and Simulation of Regulating System for Permanent Magnet Synchronous Motor

This paper researches the fuzzy control and simulation of regulating system for PMSM in electrical vehicle. The mathematics model is set up.The PMSM,the PMSM measures demux, dq to abc converter and the three phrase PWM converter models are set up in MATLAB/ Simulink. The fuzzy controller is designed with two dimension fuzzy design method, and take E and EC as input variable, U is the output variable. According to the controller and models, the fuzzy control model of regulating system for PMSM is created in matlab/simulink. At last, to test the accuracy of the control method with the simulation result.     

Model of Multiple Fuzzy Synthetical Evaluation for Enterprise Technology Innovation

Based on analyzing factor of the effect of technology innovation in enterprise,the distinctive multiple technology innovation system is established. The computing method of index weight is discussed in the face of multiple objective decision making, and the authors construct the quantitative analysis model of multiple fuzzy evaluation through fuzzy transform. With the present situation of certain manufacturing enterprise, some suggestions are given in the end after quantitative analyzing.     

Disassembly Process Planning of Products Based on Matrix Operation

Based on fuzzy Petri nets, a fuzzy reasoning Petri nets (FRPN) model is defined. And then, combining fuzzy Petri nets with matrix operation, an algorithm of formalized fuzzy reasoning process is proposed. Based on the fuzziness and uncertainness of the knowledge in the disassembly process of products, a decision making model in disassembly process is established. Furthermore, taking realistic disassembly as an example, an algorithm of decision-making in disassembly sequence is discussed. The result shows that the model of decision-making has strong parallel operation ability in the disassembly process sequence. It also can make intelligent decisions based on the product information originating from each disassembly step.     

Modeling of Liquidus Temperature for Al-Si Cast Alloys with Adaptive Neuro-fuzzy Inference System

During the melting and processing practices, an accurate knowledge of liquidus temperature is necessary in the determination of process parameters relating to a given alloy. Adaptive neuro-fuzzy inference system (ANFIS) modeling method has been used to improve accuracy of prediction for liquidus temperature based on the compositions of Al-Si series cast alloys. The developed fuzzy inference system could extract Takagi-Sugeno type fuzzy rules from data directly, and has a feed-forward network structure with supervised learning capability. In order to adapt the parameters of the model, the proposed fuzzy inference system is trained over a wide range of compositions from the published data of industrial alloys. The result shows that, the developed ANFIS model can capture non-linear relationships between compositions and liquidus temperature, and then provides better prediction than the reported multiple statistic analysis. The developed model can be used to predict the liquidus temperature needed in computer modeling and thermodynamic calculation, which are needed in the aluminium alloys casting industry and research.     

Decision Model for Location Selection of the Resident Project

Started with studying the evaluation standard, which are influencing the decision for location selection of the resident project, this paper set up a decision model for the location selection. It confirmeds evaluation rule of the location selection according to the characteristic of the resident project and selects all the location by fuzzy mathematic and AHP. After this selection, AHP is used again to taxis all the suitable location to build in the most suitable place. This model is provided with a scientific and rational decision result in the location selection for companies of the real estate.     

The GDSS Framework of Organization-Oriented Dynamic Alliance Based on Multi-Agent

The important strategy decision making system, one of the difficult problems of the research of Group Decision Support System, is an open complex huge system, which is almost non structure and hard to construct. In order to organize and take advantage of decision making departments more effectively, this paper presents the thought of combining Multi Agent System with Dynamical Alliance and set up the GDSS Framework of Organization Oriented Dynamic Alliance based on Multi Agent after analyzing the characteristics of MAS and Dynamical Alliance. Different departments can be organized more effectively on the three layer system structure composed of the strategy layer, the tactics layer and the operation layer. The decision making layer of each department is composed of the integrate decision making subsystem, which means that the decision making layer of each department can be used solely or be a part of Dynamic Alliance to make the important strategy decision and the system gets more flexible.     

Evaluation of Management Patterns of Public Projects

Due to the particularity of public projects, the evaluation of management patterns of public projects is an important aspect of performance evaluations of public sectors, and is the premise and foundation for improvement of decision - making management of projects. The objectives and contents of evaluation and selection rules of evaluation indexes were discussed briefly. The evaluation indexes system of management patterns of public projects is proposed. Applicable evaluation methods and the application bounds of the evaluation indexes system are put forward.     

Knowledge Acquisition Approach Based on Fuzzy-rough Set

A new method of knowledge acquisition based on fuzzy - rough set is proposed. The continuous attributes in the decision table are fuzzified with the fuzzy membership functions. Lower and upper approximation of fuzzy - rough set are obtained by defining fuzzy equivalence relation. According to them the decision rules are acquired. At last, an example is illustrated and proves that the approach is effective.     

Application of project cost forecasting with data mining and neural network technologies for power engineering

A model based on data mining technology and neural network theory was put forward to forecast and censor complicated engineering problems. Data mining technology was applied to normalize the real data, feature selection and clustering, which generates fuzzy rules. A forecasting model of engineering cost was constructed by using an improved back propagation(BP) neural network fuzzy system. A good calculation result was obtained by analyzing the history project training and example samples of a city. The result demonstrates the accuracy and stringency of this method and the validity and practicability of this model for forecasting and censoring complicated engineering problems.     

A comprehensive evaluation method of fuzzy matter element for CNC equipment quality

A comprehensive evaluation method based on fuzzy matter element analysis is proposed to solve problems of multiple performance and quality evaluation for computer numerical control (CNC) equipment. The fuzzy matter element theory is utilized to analyze multi-scale quality characteristics and attributes. Then, the comprehensive quality evaluation model for CNC equipment is founded by using fuzzy matter element analysis method. Analytic hierarchy process (AHP) and information entropy are applied to obtain the objective index weights. Furthermore, the combinational weight is calculated with the optimal mathematics model based on the least square method. Finally, the fuzzy matter element method is used to determine the assessment result. The case study indicates that the method has a certain rationality and feasibility.     

Discussion of the Application and Foreground of Falling Water Aeration with the Process of Sewage Treatment

The engineering design of sewage treatment plant for the Chongqing city, P. R. China is analyzed in this paper. Considering the situation of China and other projects, the characteristics of falling water reactor for the environment protection project and economy of investment is introduced ; the application and foreground of falling water aeration in the process of sewage treatment is discussed, such as Oxidation - ditch, SBR, and so on. The conclusion indicated that the falling water aeration can be designed and used as an independent aeration, and, it is an upgraded technology of sewage treatment which is adaptive for city water environment control in middle and small towns in China. The falling water aeration may reduce running cost of the sewage treatment plant, is adaptive for foothill and the mountainous areas, and reduces project investment and environments damage.