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Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: to build a fuzzy relation model among individuals in the social network.The traditional social network is transformed into a fuzzy network by replacing the traditional relationswith fuzzy relation and calculating the global fuzzy measure such as network density and centralizationFinally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain.Experimental results demonstrate that the fuzzy network has more superiority than the traditional network

Keywords： Time-series network     Fuzzy network     Fuzzy Markov chain    

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Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 21-25

Abstract: p style="text-align: justify;">On the basis of considering each factor of urban public traffic line network,  the decision-making method for the optimization of urban public traffic line network is set upby grey theory and fuzzy theory. This paper proposes to use interval numbers of three parameters to present grey fuzzy numbers. It was applied to the practical optimization of urban public traffic line network in the city.

Keywords： public traffic line network     optimization     grey fuzzy numbers    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: In view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 44-50

Abstract:

A new method of constructing fuzzy neural network is presented and Rough set theory is applied toSince Rough set theory has strong numeric analyzing ability and fuzzy neural network has exact functionThen, these rules are applied to constructing neural cell numbers and relative parameters in fuzzy neuralnetwork.Finally the initial network is trained by BP arithmetic and the whole network design is finished.

Keywords： fuzzy neural network     rough set     acquire rule     function approaching    

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Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Strategic Study of CAE 2014, Volume 16, Issue 4,   Pages 17-20

Abstract: On the basis of theoretical analysis with high frequency in wood vacuum drying process，the fuzzy controllerand fuzzy neural network controller of wood drying are designed in view of the neural network methodThe simulation experiment results show that fuzzy neural network control is better，such as the temperature

Keywords： high-frequency vacuum     wood drying     fuzzy neural network    

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Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 70-74

Abstract: This paper develops a linear programming method with LR type fuzzy numbers, which aims to estimate activity

Keywords： network scheduling     fuzzy linear programming     activity    

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 90-99 doi: 10.1007/s11709-016-0363-9

Abstract: experimental results, three different models of multiple linear regression model (MLR), artificial neural network(ANN), and adaptive neuro-fuzzy inference system (ANFIS) are established, trained, and tested within

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity    

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Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 767-775 doi: 10.1007/s11783-014-0632-6

Abstract: The water supply network (WSN) system is a critical element of civil infrastructure systems.the water supply pipelines would suffer in an earthquake, and the finite element software ABAQUS and fuzzyMembership functions based on fuzzy theory were established to calculate the membership of the componentsHowever, to consider the vulnerability of the whole system, fuzzy cluster analysis was used to distinguish

Keywords： water supply network     seismic vulnerability assessment     finite element     fuzzy mathematics    

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Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 32-47 doi: 10.1007/s42524-019-0082-8

Abstract: Therefore, this study adopted project network theory and modeled innovation diffusion in megaprojectsIn addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options asquantitative coefficients of the project network model.Three typical network structures, namely, a traditional megaproject procurement organization (TMO), theAssessment of project network productivity suggested that the projectivity of the TMO was insensitive

Keywords： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

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Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract: We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differentialA training data set required to train the ANFIS controller has been obtained by designing a fuzzy logicobtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS.

Keywords： Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

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yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-basedfuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: Several simulation systems including a back-propagation neural network (BPNN), a radial basis functionneural network (RBFNN) and an adaptive-network-based fuzzy inference system (ANFIS) were tested and

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper.the structure and model are designed according these rules, and then the model is trained by neural network

Keywords： rough sets     fuzzy logic     neural network     rules extracted    

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzylogic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS).The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inferenceCompared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC),

Keywords： adaptive neuro-fuzzy inference system (ANFIS)     artificial neural network     direct torque control (DTC)     fuzzy    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzyneural network; the diagnosis method based on the sequential inference and fuzzy neural network; thecertainty factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzyneural network.

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 33-37

Abstract: >Based on optimization of constrained nonlinear programming, an approach of clustering center and a fuzzyAn unsupervised algorithm with recursive expression and a fuzzy central cluster neural network are suggestedThe fuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in

Keywords： fuzzy sets     central cluster     pattern recognition     neural network    

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Title Author Date Type Operation

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Journal Article

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Journal Article

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Journal Article

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Journal Article

Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Journal Article

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-basedfuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article

Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Journal Article