Journal of Intelligent & Fuzzy Systems - Volume 37, issue 3

Authors: Liu, Kai | Zhou, Hongmin | Kou, Yuanyuan | Zhang, Jiabao | Zhou, Xujuan | Zhang, Xiantang

Article Type: Research Article

Abstract:  The promotion and use of passive building can effectively promote the modernization of the construction industry and alleviate the increasingly severe environmental and energy crisis. Based on this, the evolutionary game theory is used to establish an evolutionary game model between government and consumers, and the game strategies of both sides are analyzed, the influence of system equilibrium stability and parameters on the stability of evolutionary game is discussed. The dynamic evolution game law of government and consumers based on passive building demand incentive is studied under the premise of limited rationality and fuzzy trust. Then the game trajectory between …stakeholders is simulated by MATLAB software, the effects of parameters and initial intention on the evolution process and results are analyzed. It clearly clarifies the dynamic mechanism of the impact of government incentives on behavioral strategies for consumers to buy passive building. It shows that the passive building demand incentive work is focused on government, and the initial intention of government and consumers will directly affect the behavior strategies of both parties. Aiming at the demand incentives of passive building, the corresponding countermeasures and suggestions are proposed at the three levels of awareness, cost control and income. Show more

Keywords: Passive building, evolutionary game, demand incentive, numerical simulation

DOI: 10.3233/JIFS-179118

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3163-3174, 2019

Authors: Chen, Yegang | An, JianMei | Yanhan,

Article Type: Research Article

Abstract: Atmospheric pollutant PM2.5 does serious harm to human health. It is one of important tasks in our country to reduce the pollution and protect people’s lives. For this purpose, accurate prediction of the pollution conditions is needed, and a model based on BP Neural Network Algorithm is proposed in this paper. By using the data of PM2.5 and meteorological parameters observed in Fuling, a mountainous suburban region in Chongqing, China from Jan.1, 2016 to Sep.1, 2017, the effects of temperature, humidity and wind speed on PM2.5 were first analyzed by the principal component analysis. Then a prediction model based on …the BP neural network algorithm was built by using satellite remote sensing data, and the concentrations of the pollutants were explored by the model. The experimental results show that the standard deviation between the prediction results and average variance of the observed data is only 0.1218. Finally, the relationship between the number of hidden neurons and the absolute error is discussed. The prediction results show that the performance of BP neural network is better than that of regression model. Show more

Keywords: Pulmonary particulate, air quality prediction, BP neural network

DOI: 10.3233/JIFS-179119

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3175-3183, 2019

Authors: Yue, Q. | Zhang, L.L.

Article Type: Research Article

Abstract: The paper proposes a new approach to solving bipartite matching problems with linguistic scorings. The bipartite matching problem based on strict linguistic scorings is firstly described. Some basic concepts are also introduced, including bipartite matching, stable matching, and satisfaction degree. In the proposed approach, linguistic scoring preferences are changed to satisfaction degree preferences. For maximizing satisfaction degrees of agents, a bipartite matching model under the conditions of matching constraints and stability constraints is developed. Considering the important degrees of agents in each side, the bipartite matching model can be changed to a single target model by using the linear weighting …approach twice. The stable bipartite matching result is determined through model solution. A numerical case is used to state the practicability of the presented approach. Show more

Keywords: Stable bipartite matching, linguistic scoring, satisfaction degree, bipartite matching model

DOI: 10.3233/JIFS-179120

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3185-3195, 2019

Authors: Tang, Ying | Elhoseny, Mohamed

Article Type: Research Article

Abstract:  The computer network security evaluation simulation model is analyzed based on neural network. Firstly, based on the system security experimental platform, the system security detection algorithm is constructed, and the selection strategy of calculation scale is analyzed. The Prefix Span algorithm is introduced, improving its algorithm. Data mining based on Prefix is carried out, with the relationship between intrusions and their relationships analyzed. Secondly, the implementation steps of the algorithm are explained. Finally, the algorithm is tested, and the results are analyzed from three aspects: entropy value feature, active entropy algorithm and cloud platform performance. The conclusion is that the …algorithm designed in this paper has good accuracy and adaptability, and it can play a good supporting role in system safety practice training, and the encryption protocol in the network security protocol is further improved, which has laid a solid foundation for the security development of the network. Show more

Keywords: Neural network, computer, network security

DOI: 10.3233/JIFS-179121

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3197-3204, 2019

Authors: Ding, Zhihua | Lei, Zhengbao | Singh, Amit Kumar

Article Type: Research Article

Abstract:  With the development of science and technology and the improvement of people’s living standard, the car has become an indispensable tool in people’s life. People have higher requirements on the stability, safety, and comfort of the vehicle. Moreover, how to design the suspension system with excellent performance has always been the research focus of the relevant institutions at home and abroad. Based on this, starting from the role of automotive suspension, the control methods were divided into the active, passive, and semi-active way. The control mode of the automotive electronic control system was studied, and the sensor, switch, signal and …other components of the active electronic control system also were studied. The mathematical model of the active suspension system was built, and the application of fuzzy control in automotive electronic control suspension system was researched. The simulation experiment was carried out by digital simulation, and the effect was studied and analyzed. The practice has proved that the design of automotive electronic control suspension system based on digital simulation can effectively reduce the vibration of the automobile and improve the quality of the automobile, which will become a siginicate direction of future automotive research. Show more

Keywords: Fuzzy control, active suspension, automotive electronic control

DOI: 10.3233/JIFS-179122

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3205-3215, 2019

Authors: Zhao, Yan | Le, Jiajing | Zhu, LiFeng | Zuo, Ming

Article Type: Research Article

Abstract:  Hypertension is a common disease. The treatment of hypertension is one of the major public health problems in the world. Currently, in the clinical treatment of hypertension, most of which are with oral medicine in order to control the blood pressure. However, because every patient differs in pathogeny and symptom of hypertension, and the combination of various medicines is also complex. All these factors make it difficult for clinicians to give the best drug treatment for each patient. Thus, this paper takes advantage of the data mining technology to analyze the medication treatment schemes of hypertension and find out the …key factors that affect the success of each treatment scheme. These key factors will be regarded as criteria to guide clinicians to prescribe medications for patients so as to reduce the pain of patient, improve medical quality and save limited health resources. Show more

Keywords: Big data, data mining, hypertension, drug factors

DOI: 10.3233/JIFS-179123

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3217-3230, 2019

Authors: Zhang, Renshang

Article Type: Research Article

Abstract:  In order to strengthen the overall security of the network, this paper analyzes the network security issues. The study of the network security is carried out based on the Prefix Span algorithm for data mining. The classical data mining algorithm, Prefix Span algorithm and its improvement are proposed. Then, combined with the characteristics of network security, the proposed algorithm is applied to network security intrusion detection. From the algorithm flow and evaluation model, an optimization and update scheme is proposed, and an effective data transmission evaluation model is established by effectively evaluating the status of data analysis. The experimental results …show that the efficiency of the algorithm is higher than the original one. In the long sequence mode mining, the algorithm has more advantages and can better meet the high requirements of intrusion detection. However, due to the diversity and complexity of intrusion methods, data mining still needs deeper research and performance improvement in intrusion detection. Show more

Keywords: Prefix span algorithm, data mining, cyber security

DOI: 10.3233/JIFS-179124

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3231-3237, 2019

Authors: Qizhong, Li | Zhongqi, Wang | Ye, Wang

Article Type: Research Article

Abstract:  In order to determine the explosion value in the confined space, this time the simulation model of the deep learning algorithm is used to study it. The research status of deep learning algorithm is first expounded, and the numerical record of gas explosion in confined space is constructed according to computer technology. In order to ensure the optimization of numerical processing, the deep learning algorithm is used to process the simulation data to ensure the accuracy of the explosion value. In order to further test the numerical accuracy of the numerical model of gas limited space explosion, the comparison of …different values in the constrained space is carried out, and the efficiency and accuracy of the deep learning algorithm are tested. The test results show the application of deep learning algorithm. The accuracy of the explosion value is further guaranteed and needs further application. Show more

Keywords: Deep learning algorithm, confined space, gas explosion, model construction

DOI: 10.3233/JIFS-179125

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3239-3246, 2019

Authors: Zhang, Saiyu | Li, Jiangfeng | Jodylf, Moore

Article Type: Research Article

Abstract:  The rapid development of mobile Internet technology, networking, and cloud computing and other new wave of technology push micro marketing has entered a new stage of rapid development, especially since the rise of the media, to build a good atmosphere for the development of micro marketing. With the continuous development of network technology, smart mobile terminals are gradually becoming popular, and various application software (APP) is constantly innovating. Facebook, Twitter, micro blog, WeChat, m chat and other emerging from the media are increasingly connected with social life, and the value of marketing tools to highlight, no doubt, provides technical support …and development a good platform for the micro enterprise marketing. Firstly, through the review of the existing domestic and foreign micro marketing theory research, the evolution of micro marketing concept is summarized, so as to clarify the connotation of marketing and development of micro foundation, combined with the background, to reveal the development trend of micro marketing and discuss the scope of the theory. Secondly, described as a new business platform micro marketing concept, since the media form and features and the media platform of enterprise, the media is discussed for micro instrumental value marketing development. To carry out micro marketing analysis of the status quo, the media micro enterprise marketing is revealed based on the advantages and disadvantages. Then, in order to help maintain and optimize the self-media platform micro enterprise marketing advantages and overcome its disadvantages, the strategy of self-media micro enterprise marketing is put forward based on the development. Finally, combined with the millet mobile phone business case the analysis, based on the practice of micro enterprise marketing theory, also with rationality and effectiveness of the strategy proposed by this study demonstrates the advantages. Show more

Keywords: Micro marketing, evolution, self-media, development strategy

DOI: 10.3233/JIFS-179126

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3247-3255, 2019

Authors: Wang, Haibo | Li, Hua

Article Type: Research Article

Abstract:  In order to deepen the analysis method of human resource theory in labor economics, artificial intelligence technology is utilized to complement and develop. Firstly, the corresponding development of artificial intelligence technology is elaborated. Then the labor economics human resource theory model is constructed according to artificial intelligence technology, combining economics with traditional human capital theory, with the standardization of theoretical analysis of human resources market further improved. An optimization and updating scheme is put forward from algorithm flow and evaluation model, and an effective evaluation model is established by effectively evaluating the status of human resources development. Secondly, the algorithm …technology support is added to the research to reflect the optimization of artificial intelligence. In order to further test the application effect of the artificial intelligence model power resources theory, different labor economics data are used for simulation testing. It can make the human capital theoretical program more suitable for economic development and has a positive role in promoting the development of the labor economy. Show more

Keywords: Artificial intelligence, labor economics, human capital theory, analysis

DOI: 10.3233/JIFS-179127

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3257-3265, 2019