International Journal of Fuzzy Logic and Intelligent Systems最新文献_第8页

Fuzzy evaluation of adolescents’ health literacy based on early warning theory of psychological risk 基于心理风险预警理论的青少年健康素养模糊评价

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-04-13 DOI: 10.3233/JIFS-189903

Feng Sheng, P. Yang

{"title":"Fuzzy evaluation of adolescents’ health literacy based on early warning theory of psychological risk","authors":"Feng Sheng, P. Yang","doi":"10.3233/JIFS-189903","DOIUrl":"https://doi.org/10.3233/JIFS-189903","url":null,"abstract":"The mental health of adolescents not only affects their own healthy growth and success, but is also related to the future of the country and the development of the whole society. Based on the assessment and early warning of adolescents’ psychological problems, different ways to improve adolescents’ health literacy according to the psychological characteristics of adolescents at different ages were explored in this study. The methods of relative superior degree matrix evaluation, entropy value method, coefficient of variation method, subjective and objective weighting method and other methods were employed to establish the fuzzy comprehensive evaluation classification model. MATLAB, SPSS and other software were used for programming to analyze the impact of risk preference, cognitive needs, and decision-making style on the risk of psychological problems of teenagers. The obtained evaluation criterion was used to evaluate the psychological status of respondents. Finally, this study analyzed and established the early-warning mechanism based on the structure model in the system engineering theory, and proposed reasonable solutions to alleviate the risk of psychological problems from the perspective of reality and combines with conclusions.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"35 1","pages":"1-7"},"PeriodicalIF":1.3,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77952162","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}

引用次数: 2

Big data-based fuzzy prediction and evaluation of performance of cold recycled asphalt pavement 基于大数据的冷再生沥青路面性能模糊预测与评价

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-04-13 DOI: 10.3233/JIFS-189899

Hongjun Jing, Gaofei Meng, Lichen Song, Liu Qian

{"title":"Big data-based fuzzy prediction and evaluation of performance of cold recycled asphalt pavement","authors":"Hongjun Jing, Gaofei Meng, Lichen Song, Liu Qian","doi":"10.3233/JIFS-189899","DOIUrl":"https://doi.org/10.3233/JIFS-189899","url":null,"abstract":"Cold recycling of asphalt pavement is important in realizing sustainable development of highway transportation. Understanding change laws of cold recycled asphalt pavement (RAP) performance is important in the correct evaluation of pavement quality and scientific formulation of maintenance strategies. Various performance indexes were analytically demonstrated to predict and evaluate change laws of the cold RAP performance. The proposed cold recycled pavement evaluation indexes were divided into three fuzzy grades of evaluation indexes and subindexes. Integral algorithms from four indexes, namely, pavement surface condition index, riding quality index, rutting depth index, and pavement structure strength index (PSSI), were combined on the basis of the traditional gray prediction model GM (1,1). Index weights were determined according to improved analytic hierarchy process, and a performance index database system based on historical data was established for the cold RAP. Finally, an evaluation system was set up on the basis of the prediction model GM (1,1), and prediction and evaluation results were analyzed with existing data. Results showed the excellent performance of the proposed method with the maximum weight of PSSI and a cold recycled pavement evaluation index score of 77.45. Goodness of fit between the prediction curve and original data is favorable with minimal relative errors. The curve analysis of evaluation indexes demonstrated the satisfactory performance of the pavement with the overall slow declining trend of pavement performance indexes. The research results of this study can provide a reference for evaluating performance variation trends of road network-level cold RAPs.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"10 1","pages":"1-11"},"PeriodicalIF":1.3,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78278511","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}

引用次数: 0

New vistas of fuzzy methods in real life application 模糊方法在实际应用中的新前景

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-04-13 DOI: 10.3233/JIFS-189896

E. Isaeva, Á. Rocha

{"title":"New vistas of fuzzy methods in real life application","authors":"E. Isaeva, Á. Rocha","doi":"10.3233/JIFS-189896","DOIUrl":"https://doi.org/10.3233/JIFS-189896","url":null,"abstract":"In the current era of pervasive digitalization, the 7 demand for automation of nearly all spheres of human 8 life has become unprecedentedly high. Automation of 9 routine processes make it possible to achieve higher 10 performance, lower costs and effort on their manual 11 implementation, along with a more viable realloca12 tion of resources and labor contribution. To achieve 13 automation in many aspects of human life, it is nec14 essary to deal with real information. In terms of 15 automated information processing, “information is 16 everything which has influence on the assessment of 17 uncertainty by an analyst. This uncertainty can be 18 of different types: data uncertainty, nondeterminis19 tic quantities, model uncertainty, and uncertainty of 20 a priori information. Measurement results and obser21 vational data are special forms of information. Such 22 data are frequently not precise numbers but more or 23 less non-precise, also called fuzzy” [3]. Operating 24 such kind of imprecise and noisy data requires the 25 establishment of a flexible and adaptive approach 26 to information processing and the development of 27 methodologies to enhance the ability to manage com28 plicated optimization and decision making aspects 29 involving non-probabilistic uncertainty with the rea30 son to understand, develop, and practice the fuzzy 31 technologies to be used in fields such as economic, 32 engineering, management, and societal problems [1]. 33 The idea of fuzziness in the field of mathemat34 ics, Information technologies, and engineering dates 35","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"29 1","pages":"1-4"},"PeriodicalIF":1.3,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87919525","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}

引用次数: 0

Athlete’s physiological parameter monitoring system based on K-means and MTLS-SVM algorithm 基于K-means和MTLS-SVM算法的运动员生理参数监测系统

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-04-12 DOI: 10.3233/JIFS-189915

Yang Wu

{"title":"Athlete’s physiological parameter monitoring system based on K-means and MTLS-SVM algorithm","authors":"Yang Wu","doi":"10.3233/JIFS-189915","DOIUrl":"https://doi.org/10.3233/JIFS-189915","url":null,"abstract":"In the non-medical model physiological parameter monitoring system, learning the monitoring parameters can improve the diagnostic and prediction accuracy. Aiming at the problems of insufficient information mining and low prediction accuracy in multi-task time series, the supervised and semi-supervised learning methods in machine learning are combined to predict the physiological status of remote health monitoring objects. This method uses the K-means algorithm to cluster the same type of data and use the Multitasking Least Squares Support Vector Machine (MTLS-SVM) to train historical data for trend prediction. In order to evaluate the effectiveness of the method, the MTLS-SVM method is compared with the K-means and MTLS-SVM methods. It can be seen from the experimental results that the body temperature data measured by the GY-MCU90615 is close to that of the digital thermometer. Moreover, the body temperature speed collected by the GY-MCU90615 can reach the millisecond level, which can well meet the needs of the system. The research shows that the method has higher prediction accuracy and has a breakthrough significance for the monitoring of athletes’ physiological parameters.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"9 1","pages":"1-9"},"PeriodicalIF":1.3,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82145385","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}

引用次数: 1

Application research of artificial intelligence English audio translation system based on fuzzy algorithm 基于模糊算法的人工智能英语语音翻译系统应用研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-03-29 DOI: 10.3233/JIFS-189829

Erying Guo

{"title":"Application research of artificial intelligence English audio translation system based on fuzzy algorithm","authors":"Erying Guo","doi":"10.3233/JIFS-189829","DOIUrl":"https://doi.org/10.3233/JIFS-189829","url":null,"abstract":"With the development of globalization, people’s demand for English audio interaction is increasing. In order to overcome the shortcomings of traditional translation methods in grammatical variables, such as semantic ambiguity, quantifier errors, low translation accuracy, improve the quality and speed of English translation, and get more accurate and speed guaranteed translation, this study proposes an artificial intelligence English audio translation cross language system based on fuzzy algorithm. In this experiment, the collected analog speech signal is converted into a digital speech signal, and then, the speech features are modeled and digitized, and the whole set of speech samples are integrated and modified to eliminate the interference caused by noise as far as possible. After that, the collected voice will be stored in the text format, and then the text will be translated to achieve English audio translation. The DNN-HMM speech recognition model and the traditional GMM-HMM speech recognition model are used to preprocess the original corpus, and the accuracy of the corpus processing is compared. After that, the accuracy and utilization of the fuzzy algorithm are evaluated between the first type TSK and the second type TSK. For speech synthesis in which the corpus lacks language, it is meaningful to explore the least amount of training data for the synthesis of acceptable speech. The experimental results show that the accuracy of the fuzzy algorithm is about 97.34%, and the utilization rate is about 98.14%. The accuracy rate of type 1 and type 2 algorithms are about 85.77% and 76.87% respectively, and the utilization rate is about 83.25% and 78.63% respectively. The fuzzy algorithm based artificial intelligence English audio translation cross language system is obviously better than the other two algorithms.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"1 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75574966","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}

引用次数: 10

Allocation and application of computer software system based on system architecture 基于系统体系结构的计算机软件系统配置与应用

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-03-22 DOI: 10.3233/JIFS-189841

Xiao Di

{"title":"Allocation and application of computer software system based on system architecture","authors":"Xiao Di","doi":"10.3233/JIFS-189841","DOIUrl":"https://doi.org/10.3233/JIFS-189841","url":null,"abstract":" With the improvement of software system complexity and frequent updating of user requirements, the requirements of the information software development industry for information construction are constantly improved, and the quality and management requirements of software products researched and developed are also constantly improved. Project managers in the information software development industry gradually realize the importance and necessity of software system deployment. It requires scientific, timely, effective and clear work. Software system deployment system for task division and task monitoring. Based on the research results at home and abroad, this paper studies the deployment of computer software system based on event-driven architecture by using a discrete Fourier transform algorithm, decision tree algorithm and parallel algorithm. By comparing and optimizing the advantages and disadvantages of discrete Fourier transform algorithm, decision tree algorithm and parallel algorithm. This paper studies the unified management, scheduling and allocation of computer software resources. The results show that after using the research model, the data error is controlled within 5%, and the overall data accuracy is improved by 15% compared with the previous methods, which have certain practical value.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"15 1","pages":"1-8"},"PeriodicalIF":1.3,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79050938","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}

引用次数: 5

Adaptive internet of things and machine learning techniques for managing the complexity of intelligent systems big data 自适应物联网和机器学习技术，用于管理智能系统大数据的复杂性

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-03-06 DOI: 10.3233/JIFS-189844

Ahmed A. Elngar

引用次数: 0

Monitoring of bearing fatigue life based on hidden Markov model 基于隐马尔可夫模型的轴承疲劳寿命监测

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-189815

Jie Hu, Si-er Deng

引用次数: 0

Design of English reading and learning management system in college education based on artificial intelligence 基于人工智能的高校英语阅读学习管理系统设计

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-219125

Fengxia Zhang, Minghong She

引用次数: 4

Research on the framework of university ideological and political education management system based on artificial intelligence 基于人工智能的高校思想政治教育管理系统框架研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.3233/JIFS-219134

Xu Sun, Yu Zhang

{"title":"Research on the framework of university ideological and political education management system based on artificial intelligence","authors":"Xu Sun, Yu Zhang","doi":"10.3233/JIFS-219134","DOIUrl":"https://doi.org/10.3233/JIFS-219134","url":null,"abstract":"The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"6 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73606242","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}

引用次数: 0