The application of multi-level fuzzy comprehensive appraisal on social effects of projects has been studied. The principles for setting up an index system have been analyzed and the index system has been set up accord...The application of multi-level fuzzy comprehensive appraisal on social effects of projects has been studied. The principles for setting up an index system have been analyzed and the index system has been set up according to projects of construction. Models for multi-level fuzzy comprehensive appraisal have been offered and relative calculation steps have been given according to project instances.展开更多
The exploitation and utilization of the city underground space resource is the important approach of building tri-dimensional and ecological cities, solving the environment,resource,and population crisis and continuin...The exploitation and utilization of the city underground space resource is the important approach of building tri-dimensional and ecological cities, solving the environment,resource,and population crisis and continuing cities development.This article, based on the introduction in detail the overview of regional geology,hydrogeologic condition,engineering geology,environmental geology,etc.in center city of Tianjin,establishes evaluating model of urban underground space resource based on GIS展开更多
In this paper, the transformation from the fuzzy to the accurate process is exemplified by the Jiaodong gold ore deposits concentrated region where the mathematical analysis is used to appraise and forecast regional c...In this paper, the transformation from the fuzzy to the accurate process is exemplified by the Jiaodong gold ore deposits concentrated region where the mathematical analysis is used to appraise and forecast regional concealed gold ore deposits. In this sense, this paper presents a new way to the appraisal of the non traditional mineral resources.展开更多
The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and otherwireless devices is capable of sensing the activities being carried around Industrialenvironment so as to automate industrial processes. In almo...The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and otherwireless devices is capable of sensing the activities being carried around Industrialenvironment so as to automate industrial processes. In almost every industry, employeeperformance appraisal is done manually which may lead to favoritisms. This paperproposes a framework to perform automatic employee performance appraisal based ondata sensed from IoT. The framework classifies raw IoT data into three activities (Positive,Negative, Neutral), co-locates employee and activity in order to calculate employeeimplication and then performs cognitive decision making using fuzzy logic. From theexperiments carried out it is observed that automatic system has improved performance ofemployees. Also, the impact of the proposed system leads to motivation among employees.The simulation results show how fuzzy approach can be exploited to reward or penalizeemployees based on their performance.展开更多
This paper introduces a new method to evaluate the technical condition of the equipment, by means of two-grade Fuzzy Universal Appraisal,we can evaluate them more accurately. At first we establish the principle factor...This paper introduces a new method to evaluate the technical condition of the equipment, by means of two-grade Fuzzy Universal Appraisal,we can evaluate them more accurately. At first we establish the principle factor set U={U_1,U_2,U_3,…,U_n}and each principle factor U is composed of many subfactors U_j={u_(j1),U_(j2),…,U_(jn)},Then we establish the weight distribution in U and U_j.The decision set has five grades,namely:very good,pretty good,critical,rather bad,very bad.Through the establishments of appraisal metrix U_j and U We can get the final conclusion. A real example is introduced to illustrate the process of appraisal.展开更多
Through the initial selection,screening and simplification,a set of performance appraisal system of logistic distribution suited to fresh agricultural products is established.In the process of establishing the apprais...Through the initial selection,screening and simplification,a set of performance appraisal system of logistic distribution suited to fresh agricultural products is established.In the process of establishing the appraisal indicator,the representative appraisal indicator of logistic distribution of fresh agricultural products is further obtained by delivering experts' survey and applying the ABC screening system.The distribution costs,transportation and service level belong to the first level indicator;packing fees,distribution processing fees,full-load ratio,haulage capacity,customer satisfaction and the strain capability of delivery personnel belong to second level indicator.At the same time,the weighing of each indicator is determined.The quantification is conducted on indicators.The qualitative indicators applies ten-point system and then coverts these indicators into percentage,that is the number between [0,1];as for the quantitative indicators,they are concluded to the interval [0,1] according to the actual value range of the indicators and by applying the grade of membership in the vague mathematics.Through the analyses of the advantages and disadvantages of the frequently used performance evaluation method and its applicable conditions,the comprehensive evaluation of logistic distribution of agricultural products obtained by using the method of fuzzy comprehensive appraisal.The results show that,in terms of reducing distribution costs,the packaging and distribution processing technology of fresh agricultural products should be improved,so as to reduce distribution costs.In the process of introducing the application of advanced technology,the high automatic logistic equipments should be introduced.展开更多
To implement a quantificational evaluation for mechanical kinematic scheme more effectively,a multi-level and multi-objective evaluation model is presented using neural network and fuzzy theory. Firstly,the structure ...To implement a quantificational evaluation for mechanical kinematic scheme more effectively,a multi-level and multi-objective evaluation model is presented using neural network and fuzzy theory. Firstly,the structure of evaluation model is constructed according to evaluation indicator system. Then evaluation samples are generated and provided to train this model. Thus it can reflect the relation between attributive value and evaluation result,as well as the weight of evaluation indicator. Once evaluation indicators of each candidate are fuzzily quantified and fed into the trained network model,the corresponding evaluation result is outputted and the best alternative can be selected. Under this model,expert knowledge can be effectively acquired and expressed,and the quantificational evaluation can be implemented for kinematic scheme with multi-level evaluation indicator system. Several key problems on this model are discussed and an illustration has demonstrated that this model is feasible and can be regarded as a new idea for solving kinematic scheme evaluation.展开更多
The membership of every target and the mathematic model of multi-level fuzzy comprehensive assessment are set up by using fuzzy theories and means in this study.Tourism resources of main scenic spots areas in Laiyuan ...The membership of every target and the mathematic model of multi-level fuzzy comprehensive assessment are set up by using fuzzy theories and means in this study.Tourism resources of main scenic spots areas in Laiyuan County of Hebei Province are evaluated and classified by applying the model.The results of evaluation indicate that 10 of these scenic spots such as Baoziwo and Qingyunfeng are grade A,and 6 of them such as Yunpan Valley and Xianrenqiao are grade B.The peak forest scenic area in the Baishishan Geological Park and Shipuxia Scenic Area are grade A,and Jumayuan Scenic Area is grade B.Furthermore,suggestions are put forward based on the scientific and feasible development of tourism resources.展开更多
[Objective ] The study aimed at assessing the state of lake health. [ Method] Based on the concept of ＂healthy lakes＂ analyzed deeply, the fuzzy integrated evaluation was used to establish the evaluation index syste...[Objective ] The study aimed at assessing the state of lake health. [ Method] Based on the concept of ＂healthy lakes＂ analyzed deeply, the fuzzy integrated evaluation was used to establish the evaluation index system of lake health, and the analytic hierarchy process （AHP） com- bined with expert evaluation method was used to determine the weight of each indicator. Afterwards, the health state of three typical lakes （ San- baidang, Beimayang and Qiaobeidang） in Wujiang City were evaluated by the system, and the measures to develop and protect the lakes were put forward finally. E Resultl The assessment results showed that Sanbaidang and Beimayang were in basic health, while Qiaobeidang was in sub- health. The indicator system and assessment method are suitable for the rivers in eastern plains of China.[ Conclusion] The research could provide scientific references for the development, protection and restoration of lakes.展开更多
This paper first introduces the overview of real estate appraisal theory,the basic situation of real estate appraisal,the basic principles and characteristics of real estate appraisal,and three main appraisal methods....This paper first introduces the overview of real estate appraisal theory,the basic situation of real estate appraisal,the basic principles and characteristics of real estate appraisal,and three main appraisal methods.On this basis,the specific use scope of each method,the meaning of each parameter,and the influencing factors are analyzed.Then,based on the in-depth study of various existing appraisal theories and methods,a new appraisal method is proposed:the appraisal analysis method based on fuzzy analytic hierarchy process.展开更多
From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development a...From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development are determined, and the evaluation index system of geological sweetspot for CBM development is established. On this basis, the fuzzy pattern recognition(FPR) model of geological sweetspot for CBM development is built. The model is applied to evaluate four units of No.3 Coal Seam in the Fanzhuang Block, southern Qinshui Basin, China. The evaluation results are consistent with the actual development effect and the existing research results, which verifies the rationality and reliability of the FPR model. The research shows that the proposed FPR model of geological sweetspot for CBM development does not involve parameter weighting which leads to uncertainties in the results of the conventional models such as analytic hierarchy process and multi-level fuzzy synthesis judgment, and features a simple computation without the construction of multi-level judgment matrix. The FPR model provides reliable results to support the efficient development of CBM.展开更多
Diode clamped multi-level inverter （DCMLI） has a wide application prospect in high-voltage and adjustable speed drive systems due to its low stress on switching devices, low harmonic output, and simple structure. Ho...Diode clamped multi-level inverter （DCMLI） has a wide application prospect in high-voltage and adjustable speed drive systems due to its low stress on switching devices, low harmonic output, and simple structure. However, the problem of complexity of selecting vectors and capacitor voltage unbalance needs to be solved when the algorithm of direct torque control （DTC） is implemented on DCMLI. In this paper, a fuzzy DTC system of an induction machine fed by a three-level neutral-point-clamped （NPC） inverter is proposed. After introducing fuzzy logic, optimal selecting switching state is realized by applying various strategies which can distinguish the grade of the errors of stator flux linkage, torque, the neutral-point potential, and the position of stator flux linkage. Consequently, the neutral-point potential unbalance, the dr/dr of output voltage and the switching loss are restrained effectively, and desirable dynamic and steady-state performances of induction machines can be obtained for the DTC scheme. A design method of the fuzzy controller is introduced in detail, and the relevant simulation and experimental results have verified the feasibility of the proposed control algorithm.展开更多
文摘The application of multi-level fuzzy comprehensive appraisal on social effects of projects has been studied. The principles for setting up an index system have been analyzed and the index system has been set up according to projects of construction. Models for multi-level fuzzy comprehensive appraisal have been offered and relative calculation steps have been given according to project instances.
文摘The exploitation and utilization of the city underground space resource is the important approach of building tri-dimensional and ecological cities, solving the environment,resource,and population crisis and continuing cities development.This article, based on the introduction in detail the overview of regional geology,hydrogeologic condition,engineering geology,environmental geology,etc.in center city of Tianjin,establishes evaluating model of urban underground space resource based on GIS
基金This paper is supported by the fund of the program"Culturing 10 0 beyond Century Science and Technology Experts" of the Minis
文摘In this paper, the transformation from the fuzzy to the accurate process is exemplified by the Jiaodong gold ore deposits concentrated region where the mathematical analysis is used to appraise and forecast regional concealed gold ore deposits. In this sense, this paper presents a new way to the appraisal of the non traditional mineral resources.
文摘The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and otherwireless devices is capable of sensing the activities being carried around Industrialenvironment so as to automate industrial processes. In almost every industry, employeeperformance appraisal is done manually which may lead to favoritisms. This paperproposes a framework to perform automatic employee performance appraisal based ondata sensed from IoT. The framework classifies raw IoT data into three activities (Positive,Negative, Neutral), co-locates employee and activity in order to calculate employeeimplication and then performs cognitive decision making using fuzzy logic. From theexperiments carried out it is observed that automatic system has improved performance ofemployees. Also, the impact of the proposed system leads to motivation among employees.The simulation results show how fuzzy approach can be exploited to reward or penalizeemployees based on their performance.
文摘This paper introduces a new method to evaluate the technical condition of the equipment, by means of two-grade Fuzzy Universal Appraisal,we can evaluate them more accurately. At first we establish the principle factor set U={U_1,U_2,U_3,…,U_n}and each principle factor U is composed of many subfactors U_j={u_(j1),U_(j2),…,U_(jn)},Then we establish the weight distribution in U and U_j.The decision set has five grades,namely:very good,pretty good,critical,rather bad,very bad.Through the establishments of appraisal metrix U_j and U We can get the final conclusion. A real example is introduced to illustrate the process of appraisal.
文摘Through the initial selection,screening and simplification,a set of performance appraisal system of logistic distribution suited to fresh agricultural products is established.In the process of establishing the appraisal indicator,the representative appraisal indicator of logistic distribution of fresh agricultural products is further obtained by delivering experts' survey and applying the ABC screening system.The distribution costs,transportation and service level belong to the first level indicator;packing fees,distribution processing fees,full-load ratio,haulage capacity,customer satisfaction and the strain capability of delivery personnel belong to second level indicator.At the same time,the weighing of each indicator is determined.The quantification is conducted on indicators.The qualitative indicators applies ten-point system and then coverts these indicators into percentage,that is the number between [0,1];as for the quantitative indicators,they are concluded to the interval [0,1] according to the actual value range of the indicators and by applying the grade of membership in the vague mathematics.Through the analyses of the advantages and disadvantages of the frequently used performance evaluation method and its applicable conditions,the comprehensive evaluation of logistic distribution of agricultural products obtained by using the method of fuzzy comprehensive appraisal.The results show that,in terms of reducing distribution costs,the packaging and distribution processing technology of fresh agricultural products should be improved,so as to reduce distribution costs.In the process of introducing the application of advanced technology,the high automatic logistic equipments should be introduced.
基金Supported by the Shanxi Natural Science Foundation under contract number 20041070 and Natural Science Foundation of north u-niversity of China .
文摘To implement a quantificational evaluation for mechanical kinematic scheme more effectively,a multi-level and multi-objective evaluation model is presented using neural network and fuzzy theory. Firstly,the structure of evaluation model is constructed according to evaluation indicator system. Then evaluation samples are generated and provided to train this model. Thus it can reflect the relation between attributive value and evaluation result,as well as the weight of evaluation indicator. Once evaluation indicators of each candidate are fuzzily quantified and fed into the trained network model,the corresponding evaluation result is outputted and the best alternative can be selected. Under this model,expert knowledge can be effectively acquired and expressed,and the quantificational evaluation can be implemented for kinematic scheme with multi-level evaluation indicator system. Several key problems on this model are discussed and an illustration has demonstrated that this model is feasible and can be regarded as a new idea for solving kinematic scheme evaluation.
文摘The membership of every target and the mathematic model of multi-level fuzzy comprehensive assessment are set up by using fuzzy theories and means in this study.Tourism resources of main scenic spots areas in Laiyuan County of Hebei Province are evaluated and classified by applying the model.The results of evaluation indicate that 10 of these scenic spots such as Baoziwo and Qingyunfeng are grade A,and 6 of them such as Yunpan Valley and Xianrenqiao are grade B.The peak forest scenic area in the Baishishan Geological Park and Shipuxia Scenic Area are grade A,and Jumayuan Scenic Area is grade B.Furthermore,suggestions are put forward based on the scientific and feasible development of tourism resources.
文摘[Objective ] The study aimed at assessing the state of lake health. [ Method] Based on the concept of ＂healthy lakes＂ analyzed deeply, the fuzzy integrated evaluation was used to establish the evaluation index system of lake health, and the analytic hierarchy process （AHP） com- bined with expert evaluation method was used to determine the weight of each indicator. Afterwards, the health state of three typical lakes （ San- baidang, Beimayang and Qiaobeidang） in Wujiang City were evaluated by the system, and the measures to develop and protect the lakes were put forward finally. E Resultl The assessment results showed that Sanbaidang and Beimayang were in basic health, while Qiaobeidang was in sub- health. The indicator system and assessment method are suitable for the rivers in eastern plains of China.[ Conclusion] The research could provide scientific references for the development, protection and restoration of lakes.
文摘This paper first introduces the overview of real estate appraisal theory,the basic situation of real estate appraisal,the basic principles and characteristics of real estate appraisal,and three main appraisal methods.On this basis,the specific use scope of each method,the meaning of each parameter,and the influencing factors are analyzed.Then,based on the in-depth study of various existing appraisal theories and methods,a new appraisal method is proposed:the appraisal analysis method based on fuzzy analytic hierarchy process.
基金Key Project of China National Natural Science Foundation (42230814,52234002)Research Program Foundation of Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences),Ministry of Education (TPR-2022-17)。
文摘From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development are determined, and the evaluation index system of geological sweetspot for CBM development is established. On this basis, the fuzzy pattern recognition(FPR) model of geological sweetspot for CBM development is built. The model is applied to evaluate four units of No.3 Coal Seam in the Fanzhuang Block, southern Qinshui Basin, China. The evaluation results are consistent with the actual development effect and the existing research results, which verifies the rationality and reliability of the FPR model. The research shows that the proposed FPR model of geological sweetspot for CBM development does not involve parameter weighting which leads to uncertainties in the results of the conventional models such as analytic hierarchy process and multi-level fuzzy synthesis judgment, and features a simple computation without the construction of multi-level judgment matrix. The FPR model provides reliable results to support the efficient development of CBM.
文摘Diode clamped multi-level inverter （DCMLI） has a wide application prospect in high-voltage and adjustable speed drive systems due to its low stress on switching devices, low harmonic output, and simple structure. However, the problem of complexity of selecting vectors and capacitor voltage unbalance needs to be solved when the algorithm of direct torque control （DTC） is implemented on DCMLI. In this paper, a fuzzy DTC system of an induction machine fed by a three-level neutral-point-clamped （NPC） inverter is proposed. After introducing fuzzy logic, optimal selecting switching state is realized by applying various strategies which can distinguish the grade of the errors of stator flux linkage, torque, the neutral-point potential, and the position of stator flux linkage. Consequently, the neutral-point potential unbalance, the dr/dr of output voltage and the switching loss are restrained effectively, and desirable dynamic and steady-state performances of induction machines can be obtained for the DTC scheme. A design method of the fuzzy controller is introduced in detail, and the relevant simulation and experimental results have verified the feasibility of the proposed control algorithm.
