The secure operation of critical infrastructures is 8 essential to the security of a nation, its economy, and 9 the public’s health and safety. Security incidents in 10 critical infrastructures can directly lead to a viola11 tion of users’ safety and privacy, physical damages, 12 significant economic impacts for individuals and 13 companies, and threats to human life, while decreas14 ing trust in institutions and bringing their social value 15 into question. Because of the increasing interconnec16 tion between the digital and physical worlds, these 17 infrastructures and services are more critical, sophis18 ticated, and interconnected than ever before. This 19 makes them increasingly vulnerable to attacks, as 20 confirmed by the steady rise of cybersecurity inci21 dents. The consequences of these attacks are almost 22 always invasive and disruptive for the computerized 23 systems and can be fatal if the attacks are performed 24 in the domain of smart health devices. The need 25 therefore arises to research effective security-based 26 solutions for nullifying these risks or countering the 27 attacks. In recent years, this has been suc essfully 28 accomplished using intelligent technologies, includ29 ing artificial intelligence, machine learni g and deep
{"title":"New trends of intelligent systems-based secure critical infrastructure in smart city","authors":"A. El-latif, L. Tawalbeh","doi":"10.3233/JIFS-219058","DOIUrl":"https://doi.org/10.3233/JIFS-219058","url":null,"abstract":"The secure operation of critical infrastructures is 8 essential to the security of a nation, its economy, and 9 the public’s health and safety. Security incidents in 10 critical infrastructures can directly lead to a viola11 tion of users’ safety and privacy, physical damages, 12 significant economic impacts for individuals and 13 companies, and threats to human life, while decreas14 ing trust in institutions and bringing their social value 15 into question. Because of the increasing interconnec16 tion between the digital and physical worlds, these 17 infrastructures and services are more critical, sophis18 ticated, and interconnected than ever before. This 19 makes them increasingly vulnerable to attacks, as 20 confirmed by the steady rise of cybersecurity inci21 dents. The consequences of these attacks are almost 22 always invasive and disruptive for the computerized 23 systems and can be fatal if the attacks are performed 24 in the domain of smart health devices. The need 25 therefore arises to research effective security-based 26 solutions for nullifying these risks or countering the 27 attacks. In recent years, this has been suc essfully 28 accomplished using intelligent technologies, includ29 ing artificial intelligence, machine learni g and deep","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"25 1","pages":"1-1"},"PeriodicalIF":1.3,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80990037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
How local industrial clusters break through the lock-in status of low end of value chains and realize industrial upgrading in the development process of embedded global value chain is the central topic of current industrial development research. To explore how industrial clusters achieve the enhancement of their innovation capability and value chains when they are embedded in the global value chain, from the perspective of knowledge transfer and according to the differences in the knowledge levels of the local industrial clusters, three fuzzy game models of knowledge transfer paths were constructed, and the model of the realization mechanism of knowledge transfer and its stability condition was analyzed, which make clear the path of cluster growth under different embedding modes. Results show that although the mode of embedding and the path of knowledge transfer is different, the local industrial clusters can obtain external knowledge transfer by embedding in the global value chain; the knowledge transformation ability of local industrial clusters is the determining factor that the knowledge transfer can smoothly achieve and become stable. The conclusion also shows that the feasibility of the cross-sectional growth of industrial clusters by actively embed the global value chain and acquiring external knowledge transfer if the industrial clusters want to enhance their technology accumulation, their innovation ability, and their position in the global value chain.
{"title":"Growth path of industrial clusters embedded in global value chain from the perspective of knowledge transfer: A fuzzy game approach","authors":"B. He, W. Meng","doi":"10.3233/JIFS-189950","DOIUrl":"https://doi.org/10.3233/JIFS-189950","url":null,"abstract":"How local industrial clusters break through the lock-in status of low end of value chains and realize industrial upgrading in the development process of embedded global value chain is the central topic of current industrial development research. To explore how industrial clusters achieve the enhancement of their innovation capability and value chains when they are embedded in the global value chain, from the perspective of knowledge transfer and according to the differences in the knowledge levels of the local industrial clusters, three fuzzy game models of knowledge transfer paths were constructed, and the model of the realization mechanism of knowledge transfer and its stability condition was analyzed, which make clear the path of cluster growth under different embedding modes. Results show that although the mode of embedding and the path of knowledge transfer is different, the local industrial clusters can obtain external knowledge transfer by embedding in the global value chain; the knowledge transformation ability of local industrial clusters is the determining factor that the knowledge transfer can smoothly achieve and become stable. The conclusion also shows that the feasibility of the cross-sectional growth of industrial clusters by actively embed the global value chain and acquiring external knowledge transfer if the industrial clusters want to enhance their technology accumulation, their innovation ability, and their position in the global value chain.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"7 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84667653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Belt and Road is the logistics and trade of China’s coastal areas, which has gained new development opportunities. To explore the Belt and Road strategy in the current situation of logistics and trade development in coastal areas, the coastal logistics and trade measurement indicators were selected, an evaluation model of the collaborative development of logistics and trade was built by using time-series data and fuzzy theory, and the causal relationship between the indicators was analyzed through the Granger causal model. Results show that from 2009 to 2018, the total logistics value and trade volume of the studied area show an increasing trend year by year, and the trade scale shows an upward trend year by year. The trade dependence of the coastal area reaches about 37.5%, and the key driving force of economic development is trade export. The total logistics value of the coastal area and the trade import, export, and total import and export of the region, there is a high positive correlation among the three indicators, and the correlation coefficient between the import volume and the export value is more than 0.84, reaching the “extra high” evaluation level, and there is a highly significant positive correlation between the two indicators. The logistics and trade in the region have a positive correlation and collaborative development relationship.
{"title":"Fuzzy evaluation of coordinated development of logistics and trade in coastal areas based on granger causal model","authors":"Lingli Chu","doi":"10.3233/JIFS-189927","DOIUrl":"https://doi.org/10.3233/JIFS-189927","url":null,"abstract":"The Belt and Road is the logistics and trade of China’s coastal areas, which has gained new development opportunities. To explore the Belt and Road strategy in the current situation of logistics and trade development in coastal areas, the coastal logistics and trade measurement indicators were selected, an evaluation model of the collaborative development of logistics and trade was built by using time-series data and fuzzy theory, and the causal relationship between the indicators was analyzed through the Granger causal model. Results show that from 2009 to 2018, the total logistics value and trade volume of the studied area show an increasing trend year by year, and the trade scale shows an upward trend year by year. The trade dependence of the coastal area reaches about 37.5%, and the key driving force of economic development is trade export. The total logistics value of the coastal area and the trade import, export, and total import and export of the region, there is a high positive correlation among the three indicators, and the correlation coefficient between the import volume and the export value is more than 0.84, reaching the “extra high” evaluation level, and there is a highly significant positive correlation between the two indicators. The logistics and trade in the region have a positive correlation and collaborative development relationship.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"123 12 1","pages":"1-6"},"PeriodicalIF":1.3,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85383775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the underground space optimization method of smart city based on information processing technology to save space optimization operation time. Taking coordinate of intersection point, radius of intersection point, mileage of vertical slope change point and elevation of slope change point as design variables, taking total cost of underground space construction of smart city as objective function and taking plane, vertical section, horizontal and vertical combination and environmental impact as constraint conditions, a multi-objective optimization mathematical model of underground space of smart city was constructed. Parete genetic algorithm in information processing technology was used to solve the multi-objective optimization mathematical model of the underground space of smart city, realize the automatic search for the optimal scheme of the underground space of smart city, and complete the intelligent optimization process of the underground space construction scheme of smart city. The results show that the method obtained from this study can effectively optimize the underground space of smart city and obtain the optimal subway laying line, save space and optimize operation time and improve the convergence of the method.
{"title":"Underground space optimization of smart city based on information processing technology","authors":"Zhiyong Li","doi":"10.3233/JIFS-189939","DOIUrl":"https://doi.org/10.3233/JIFS-189939","url":null,"abstract":"This study explores the underground space optimization method of smart city based on information processing technology to save space optimization operation time. Taking coordinate of intersection point, radius of intersection point, mileage of vertical slope change point and elevation of slope change point as design variables, taking total cost of underground space construction of smart city as objective function and taking plane, vertical section, horizontal and vertical combination and environmental impact as constraint conditions, a multi-objective optimization mathematical model of underground space of smart city was constructed. Parete genetic algorithm in information processing technology was used to solve the multi-objective optimization mathematical model of the underground space of smart city, realize the automatic search for the optimal scheme of the underground space of smart city, and complete the intelligent optimization process of the underground space construction scheme of smart city. The results show that the method obtained from this study can effectively optimize the underground space of smart city and obtain the optimal subway laying line, save space and optimize operation time and improve the convergence of the method.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"19 1","pages":"1-7"},"PeriodicalIF":1.3,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77668573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As China’s accession to the World Trade Organization takes longer and longer, it has gained a place in the international market. At present, in the international market, China ranks first in the trading volume of agricultural and sideline products, especially in the development of foreign trade in Southeast Asia, Europe, and Africa. The development momentum of the edible fungus industry continues to increase in China, becoming a leader in the emerging agricultural industry. Based on the influence of the edible fungus industry in rural areas, according to the survey and record of data valuation, the specific index data content from 2005 to 2019 was taken as an example, and a three-tier research system was proposed using var3D model. Respectively, it is the relationship between the three types of rural basic indicators, economic indicators, and industrial development indicators, verifying the role of the edible fungus industry in driving the development of beautiful new rural construction and enhancing economic development. Results show that the targeted distribution of edible fungi across the country and the construction of beautiful villages have a high degree of direct correlation, and its steep performance trend is obvious. In the analysis of the equilibrium degree of the edible fungi industry driving the local rural economic development, the edible fungi continues to strengthen the advantages of local industries have used its industrial power to further improve the intensity and integrity of local rural construction and promote the development of beautiful new rural areas. The development of the edible fungus industry has also led to the enthusiasm and source power of the construction of beautiful new villages. The development of beautiful new villages will help to enhance the gain effect of the edible fungus industry and form a new model of the beautiful new rural circular economy.
{"title":"Effect of the development of the edible fungus industry on the circular economy of the beautiful new countryside based on the var3D regional model","authors":"Hao Fang, Jiafeng Xu, Danli Dai, Yongpeng Sun","doi":"10.3233/JIFS-189931","DOIUrl":"https://doi.org/10.3233/JIFS-189931","url":null,"abstract":"As China’s accession to the World Trade Organization takes longer and longer, it has gained a place in the international market. At present, in the international market, China ranks first in the trading volume of agricultural and sideline products, especially in the development of foreign trade in Southeast Asia, Europe, and Africa. The development momentum of the edible fungus industry continues to increase in China, becoming a leader in the emerging agricultural industry. Based on the influence of the edible fungus industry in rural areas, according to the survey and record of data valuation, the specific index data content from 2005 to 2019 was taken as an example, and a three-tier research system was proposed using var3D model. Respectively, it is the relationship between the three types of rural basic indicators, economic indicators, and industrial development indicators, verifying the role of the edible fungus industry in driving the development of beautiful new rural construction and enhancing economic development. Results show that the targeted distribution of edible fungi across the country and the construction of beautiful villages have a high degree of direct correlation, and its steep performance trend is obvious. In the analysis of the equilibrium degree of the edible fungi industry driving the local rural economic development, the edible fungi continues to strengthen the advantages of local industries have used its industrial power to further improve the intensity and integrity of local rural construction and promote the development of beautiful new rural areas. The development of the edible fungus industry has also led to the enthusiasm and source power of the construction of beautiful new villages. The development of beautiful new villages will help to enhance the gain effect of the edible fungus industry and form a new model of the beautiful new rural circular economy.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"10 1","pages":"1-8"},"PeriodicalIF":1.3,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75095054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the accuracy of intelligent recommendation of library books, an intelligent recommendation system of library books based on artificial intelligence was designed. The system uses artificial intelligence technology to clean up and normalize the data, automatically extracts the user’s historical evaluation data of books, divides the whole user space into several similar user clusters through the similar user clustering module, constructs the user book evaluation matrix according to the historical evaluation data, and uses the hybrid collaborative filtering algorithm which integrates user based and project-based to predict each user a book evaluation matrix of similar user clusters was used to realize the intelligent recommendation of library books, and the recommendation results were displayed to users through the user interface module. The results show that the average absolute error and root mean square error of the system are always the lowest, and the recommendation accuracy is high. When the control parameter is 0.4, the best intelligent book recommendation effect can be obtained; the recommended recall rate is not affected by the sparse density of the data set, and the stability is strong.
{"title":"Library book intelligent recommendation system based on artificial intelligence","authors":"L. Pang","doi":"10.3233/JIFS-189934","DOIUrl":"https://doi.org/10.3233/JIFS-189934","url":null,"abstract":"In order to improve the accuracy of intelligent recommendation of library books, an intelligent recommendation system of library books based on artificial intelligence was designed. The system uses artificial intelligence technology to clean up and normalize the data, automatically extracts the user’s historical evaluation data of books, divides the whole user space into several similar user clusters through the similar user clustering module, constructs the user book evaluation matrix according to the historical evaluation data, and uses the hybrid collaborative filtering algorithm which integrates user based and project-based to predict each user a book evaluation matrix of similar user clusters was used to realize the intelligent recommendation of library books, and the recommendation results were displayed to users through the user interface module. The results show that the average absolute error and root mean square error of the system are always the lowest, and the recommendation accuracy is high. When the control parameter is 0.4, the best intelligent book recommendation effect can be obtained; the recommended recall rate is not affected by the sparse density of the data set, and the stability is strong.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"23 1","pages":"1-6"},"PeriodicalIF":1.3,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88324177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main purpose of stage performance arrangement is to improve the audience’s satisfaction with the stage performance. For this purpose, the stage performance arrangement design method based on artificial intelligence technology was explored. In the process of stage performance action retrieval, the offline link uses the method of frame distance definition based on quaternion in artificial intelligence technology to construct the structure of motion database digraph; the real-time link determines the corresponding vertex and edge in the digraph. According to the vertices and edges in the directed graph, the performer’s trajectory was determined, and the multi-resolution filtering algorithm in artificial intelligence technology was used to extract the motion path in the performer’s trajectory. The target path of stage performance arrangement was obtained by mapping the performer’s motion path through zoom processing. Based on the goal path, by arranging the control position of the performer’s root joint and correcting the direction of the performer, the movement track of the performer in the stage performance process was reconstructed, and the stage performance layout design was realized by combining with the position arrangement of the stage performance motion segment. The experimental results show that the method can accurately plan the performers’ path and improve the user’s satisfaction with the stage performance.
{"title":"Stage performance layout design based on artificial intelligence technology","authors":"Ge Li","doi":"10.3233/JIFS-189930","DOIUrl":"https://doi.org/10.3233/JIFS-189930","url":null,"abstract":"The main purpose of stage performance arrangement is to improve the audience’s satisfaction with the stage performance. For this purpose, the stage performance arrangement design method based on artificial intelligence technology was explored. In the process of stage performance action retrieval, the offline link uses the method of frame distance definition based on quaternion in artificial intelligence technology to construct the structure of motion database digraph; the real-time link determines the corresponding vertex and edge in the digraph. According to the vertices and edges in the directed graph, the performer’s trajectory was determined, and the multi-resolution filtering algorithm in artificial intelligence technology was used to extract the motion path in the performer’s trajectory. The target path of stage performance arrangement was obtained by mapping the performer’s motion path through zoom processing. Based on the goal path, by arranging the control position of the performer’s root joint and correcting the direction of the performer, the movement track of the performer in the stage performance process was reconstructed, and the stage performance layout design was realized by combining with the position arrangement of the stage performance motion segment. The experimental results show that the method can accurately plan the performers’ path and improve the user’s satisfaction with the stage performance.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"23 1","pages":"1-7"},"PeriodicalIF":1.3,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77929816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The cross-border e-commerce is born in the field of international trade within the social context of economic globalization and the rapid development of the Internet technologies. Numerous B2 C cross-border intelligent e-commerce platforms are set up one after another. The importance of service innovation is recognized gradually but is not fully known and the evaluation system of their service is not sound. Therefore, how to scientifically evaluate and improve the ability of the service innovation of cross-border intelligent e-commerce platform is a hotspot. The development mode and problems of imported e-commerce retail platform are mainly focused, but the studies on intelligent innovation of cross-border e-commerce platform and on its evaluation and analysis are relatively few. To make up for the lack of understanding, four imported cross-border intelligent e-commerce retail platforms in China were chosen as the objects. Second, the evaluation model of imported cross-border intelligent e-commerce retail platforms was established based on factor analysis to obtain the evaluation index system, and these four platforms’ service innovation abilities were calculated and ranked for discussing the causes of their differences and indicating the routes clearly and definitely for the platforms to improve their service innovation ability. The results manifest that the market share and popularity of the intelligent e-commerce platforms are in direct proportion to the service innovation capability. Luxury brand marketing and high market share can significantly enhance the innovative service ability. The conclusions have a certain guiding significance for the development imported cross-border intelligent e-commerce platforms.
{"title":"Evaluation of service innovation capability of imported cross-border intelligent E-commerce platform","authors":"Qiuhong Yang","doi":"10.3233/JIFS-189920","DOIUrl":"https://doi.org/10.3233/JIFS-189920","url":null,"abstract":"The cross-border e-commerce is born in the field of international trade within the social context of economic globalization and the rapid development of the Internet technologies. Numerous B2 C cross-border intelligent e-commerce platforms are set up one after another. The importance of service innovation is recognized gradually but is not fully known and the evaluation system of their service is not sound. Therefore, how to scientifically evaluate and improve the ability of the service innovation of cross-border intelligent e-commerce platform is a hotspot. The development mode and problems of imported e-commerce retail platform are mainly focused, but the studies on intelligent innovation of cross-border e-commerce platform and on its evaluation and analysis are relatively few. To make up for the lack of understanding, four imported cross-border intelligent e-commerce retail platforms in China were chosen as the objects. Second, the evaluation model of imported cross-border intelligent e-commerce retail platforms was established based on factor analysis to obtain the evaluation index system, and these four platforms’ service innovation abilities were calculated and ranked for discussing the causes of their differences and indicating the routes clearly and definitely for the platforms to improve their service innovation ability. The results manifest that the market share and popularity of the intelligent e-commerce platforms are in direct proportion to the service innovation capability. Luxury brand marketing and high market share can significantly enhance the innovative service ability. The conclusions have a certain guiding significance for the development imported cross-border intelligent e-commerce platforms.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"75 1","pages":"1-12"},"PeriodicalIF":1.3,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79617901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to analysis the mechanism of coal bursting pressures of deep coal seams, and take effective methods to identify, monitor and control coal bursting pressure, this study takes 21101 working face of No. 2 Coal seam in Dongpang Coal Mine as an example, risk identification was carried out for the harmful factors of coal bursting pressure in coal seam 21101 in Dongpang Coal Mine, and each influencing factor was classified. The hierarchical structure model of the influencing factors of coal bursting pressure in coal seam protruding deep in Dongpang Coal Mine was established in combination with expert opinions, and the weight of each level index was calculated by MATLAB software. The results show that the 21101 working face of No. 2 coal seam in Dongpang Coal Mine has strong impact risk, and the main risk factors include geological structure, impact resistance of coal and rock, mining stress, inducing factors, emphasis degree of impact risk. According to the hierarchical structure model of the influencing factors, the corresponding safety measures are put forward to prevent the damage caused by coal bursting pressure in advance and ensure the high quality and safe production in the mine. The qualitative and quantitative methods are used to make the evaluation process more reasonable and scientific.
{"title":"Assessment of risk tendency of coal bursting pressure in deep outburst seam based on fuzzy evaluation method","authors":"B. Gu, Minbo Zhang","doi":"10.3233/JIFS-189921","DOIUrl":"https://doi.org/10.3233/JIFS-189921","url":null,"abstract":"In order to analysis the mechanism of coal bursting pressures of deep coal seams, and take effective methods to identify, monitor and control coal bursting pressure, this study takes 21101 working face of No. 2 Coal seam in Dongpang Coal Mine as an example, risk identification was carried out for the harmful factors of coal bursting pressure in coal seam 21101 in Dongpang Coal Mine, and each influencing factor was classified. The hierarchical structure model of the influencing factors of coal bursting pressure in coal seam protruding deep in Dongpang Coal Mine was established in combination with expert opinions, and the weight of each level index was calculated by MATLAB software. The results show that the 21101 working face of No. 2 coal seam in Dongpang Coal Mine has strong impact risk, and the main risk factors include geological structure, impact resistance of coal and rock, mining stress, inducing factors, emphasis degree of impact risk. According to the hierarchical structure model of the influencing factors, the corresponding safety measures are put forward to prevent the damage caused by coal bursting pressure in advance and ensure the high quality and safe production in the mine. The qualitative and quantitative methods are used to make the evaluation process more reasonable and scientific.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"21 1","pages":"1-9"},"PeriodicalIF":1.3,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83927620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High rockfill embankment is widely applied to high-grade highways in mountainous areas, and its stable operation can significantly promote traffic and economic development. In this study, a stability evaluation model of high rockfill embankment was constructed based on fuzzy mathematics theory to realize effective and rapid evaluation. Considering representativeness and easy operability, 5 level-1 factor indexes and 16 level-2 factor indexes were determined from different perspectives of embankment fillers, slope conditions, hydraulic conditions, slope protection, and other factors. Weights of different factor indexes were allocated using analytic hierarchy process and all factor indexes were quantified and classified using the fuzzy statistical method according to stability level. Reliabilities of factor indexes were combined with reliability theory for analysis. Finally, the reasonability of the proposed fuzzy evaluation model was verified through application in the high rockfill embankment engineering on the secondary highway of the National Highway 316 from Xunyang to Ankang in Shaanxi Province, China. Results demonstrate that the reliability of this high rockfill embankment is 0.8671 and the final score of the evaluation system is 73.1619, indicating stability. Therefore, the proposed fuzzy evaluation model is reasonable and feasible to evaluate stability of high rockfill embankment, and can provide references for future design.
{"title":"Evaluation of stability of high rockfill embankment based on fuzzy mathematics","authors":"Yanqing Zhang, Hongjun Jing, Jun Dai","doi":"10.3233/JIFS-189898","DOIUrl":"https://doi.org/10.3233/JIFS-189898","url":null,"abstract":"High rockfill embankment is widely applied to high-grade highways in mountainous areas, and its stable operation can significantly promote traffic and economic development. In this study, a stability evaluation model of high rockfill embankment was constructed based on fuzzy mathematics theory to realize effective and rapid evaluation. Considering representativeness and easy operability, 5 level-1 factor indexes and 16 level-2 factor indexes were determined from different perspectives of embankment fillers, slope conditions, hydraulic conditions, slope protection, and other factors. Weights of different factor indexes were allocated using analytic hierarchy process and all factor indexes were quantified and classified using the fuzzy statistical method according to stability level. Reliabilities of factor indexes were combined with reliability theory for analysis. Finally, the reasonability of the proposed fuzzy evaluation model was verified through application in the high rockfill embankment engineering on the secondary highway of the National Highway 316 from Xunyang to Ankang in Shaanxi Province, China. Results demonstrate that the reliability of this high rockfill embankment is 0.8671 and the final score of the evaluation system is 73.1619, indicating stability. Therefore, the proposed fuzzy evaluation model is reasonable and feasible to evaluate stability of high rockfill embankment, and can provide references for future design.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"45 1","pages":"1-9"},"PeriodicalIF":1.3,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81944398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：