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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Dou, Fei | Wei, Yun | Huang, Yakun | Ning, Yao | Wang, Li
Article Type: Research Article
Abstract: In the condition of large passenger flow, subway station managers take measures of passenger flow control organization for reducing high safety operation risks at subway stations. The volume of passenger flow in urban railway network operation continues to increase and the Congestion of passenger flow is very high. Passenger flow control measures can greatly give birth to the pressure of transportation and ensure an urban rail transit system’s safe operation. In this paper, we develop a cloud model-based method for passenger flow control, which extends the four-level risk-control grade of a large passenger flow at facilities by considering its fuzzy …and stochastic characteristics. Then, an efficient passenger flow control strategy for subway stations is made, where the control time and locations are simultaneously determined. Finally, a station in the Beijing subway is studied to test the validity of the proposed approach. The results show that the time of maximum queuing length is much shorter and the density of passenger flow is lower than existing methods in practice. With the in-depth study of complex network controllability, many studies have applied to control judgment and real network optimization. This paper analyzes the cloud-model-based method for passenger flow control at subway stations and therefore a new method can be incorporated for developing and optimizing control strategies. A few researchers have attempted to find the solution to the problem of crowding risk classification and the passenger flow control strategy. The focus of some studies simultaneously solves the passenger flow control with multiple stations. Show more
Keywords: Subway stations, passenger flow control, risk-control grade identification, cloud model, crowding, control problem, normal cloud
DOI: 10.3233/JIFS-223110
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6103-6115, 2023
Authors: Yang, Can
Article Type: Research Article
Abstract: In the context of sharing economy, logistics companies have begun to adopt a new collection and distribution model based on external vehicles, and external vehicles are used to provide customers with collection/distribution services. A kind of Multi-Vehicle Split Pickup and Delivery Problem with Time Windows (MVSPDPTW) is studied in the paper. The minimum total length of the vehicle’s travel path is the objective function, and a mixed-integer linear programming model is established. A high-efficiency Tabu Simulated Annealing (TSA) algorithm is proposed. Two new neighborhood search operators are designed in the algorithm, they are used to repair the violation of capacity …constraints and the operation of car replacement. In the method, the neighborhood search range is expanded and the algorithm is avoided from falling into a local optimum. In addition, a taboo mechanism and a penalty mechanism for violation of constraints are added to the algorithm, the effective tailoring of the search space is realized and the algorithm’s global optimization ability is improved. Finally, a large number of simulation experiments were performed on the algorithm based on the Solomon data set and the constructed simulation data set, and the effectiveness of the algorithm is verified in the experiments. Show more
Keywords: Vehicle routing, simulated annealing, intelligent optimization, split demand, pickup and delivery
DOI: 10.3233/JIFS-223708
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6117-6129, 2023
Authors: Liang, Jun | Huang, Keyi | Qiu, Shaojian | Lin, Hai | Lian, Keng
Article Type: Research Article
Abstract: Trend following strategies have a wide-ranging role in quantitative trading fields, which can capture important unilateral market trends for large gains, while this is vulnerable to losses in the period of consolidation. In this paper, we explored the trend trading system in the Chinese futures market based on machine learning techniques and statistical methods. This research utilized the Long-Short-Term Memory network to extract features of time series then predicted the price movements by Machine Learning classifiers. Moreover, based on rebar futures data, the results reveal that the annualized return improved from 6.39% to 15.68% after the trading signals generated in …the trading strategy were filtered using the XGBoost model. Also, futures on gold and soybean were used to further test the integrated strategy and the results of the experiment show the effectiveness of the model in filtering false trading signals. Show more
Keywords: Machine learning, LSTM, time series forecasting, trend following strategies, deep learning
DOI: 10.3233/JIFS-223873
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6131-6149, 2023
Authors: Li, Li
Article Type: Research Article
Abstract: Eliminating poverty, improving people’s livelihood, building a well-off society in all aspects and achieving common prosperity are the essential requirements of socialism. The 19th Party Congress formally put forward the strategy of rural revitalization and made it the focus of the direction of rural reform and development in the new period. In this context, how to make the basic strategy of precise poverty alleviation implemented and put into practice, and how to realize the work of precise poverty alleviation to better contribute to rural revitalization are both practical and academic questions that need to be further explored. The efficiency evaluation …of integrated development of agriculture and tourism to promote rural revitalization under the policy of precise poverty alleviation is viewed as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) method is built based on the traditional cross-entropy and triangular fuzzy neutrosophic sets (TFNSs). Furthermore, Then, TFNN-CE method is established for MADM. Finally, a numerical example for efficiency evaluation of integrated development of agriculture and tourism to promote rural revitalization under the policy of precise poverty alleviation has been given to further illustrate advantages of the built method. Show more
Keywords: Multiple attribute decision making (MADM) problems, triangular fuzzy neutrosophic sets (TFNSs), cross-entropy method, 2TLNN-CE method, efficiency evaluation
DOI: 10.3233/JIFS-224126
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6151-6161, 2023
Authors: Zeng, Guoqiang | Zhou, Huan | Tang, Jianrong
Article Type: Research Article
Abstract: COVID-19, as a public health emergency, poses a major challenge to the economic and social development of numerous countries, impacting not only the psychology and behavior of residents at the individual level, but also the stability of society at the societal level, typified by the increased difficulty of smooth economic operation due to residents’ irrational consumption behavior. In the present study, we have drawn on the psychological stimuli-organism-response (SOR) and mediating effect theories to explore the causes of irrational consumption behavior. Finally, based on the actual situation in the questionnaire survey, we propose the system for assessing the effectiveness of …the government’s response to the epidemic and measures under the influence of irrational consumption. In the results of our study, we found that the positive and negative irrational consumption adjustment coefficients of the government under the influence of its inherent image were 6.72% and 17.64%, respectively; the government intervention indices under the positive and negative perceptions output according to QFD theory were 0.14 and 0.02, respectively; and the positive and negative measure effectiveness indices of the government response programs were 2.28 and 2.10, respectively. Thus, through our study, we concluded that residents’ positive perception of government image would reduce the occurrence of irrational consumption behavior, while the improvement of irrational consumption behavior by perfect psychological services under residents’ negative perception of government image is more obvious. On the basis of summarizing the experience of this COVID-19, this study can serve the prediction and regulation of residents’ irrational consumption behavior under the government response to public health emergencies, and also enrich the research literature on irrational consumption behavior in related consumption behavior studies, and more importantly, provide theoretical and empirical support for similar academic cases in the international community. Show more
Keywords: Consumer behavior research, irrational consumer behavior, QFD theory, SOR model, mediating effects
DOI: 10.3233/JIFS-223505
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6163-6182, 2023
Authors: Navin, K.S. | Nehemiah, H. Khanna | Nancy Jane, Y. | Veena Saroji, H.
Article Type: Research Article
Abstract: Premature mortality from cardiovascular disease can be reduced with early detection of heart failure by analysing the patients’ risk factors and assuring accurate diagnosis. This work proposes a clinical decision support system for the diagnosis of congenital heart failure by utilizing a data pre-processing approach for dealing missing values and a filter-wrapper based method for selecting the most relevant features. Missing values are imputed using a missForest method in four out of eight heart disease datasets collected from the Machine Learning Repository maintained by University of California, Irvine. The Fast Correlation Based Filter is used as the filter approach, while …the union of the Atom Search Optimization Algorithm and the Henry Gas Solubility Optimization represent the wrapper-based algorithms, with the fitness function as the combination of accuracy, G-mean, and Matthew’s correlation coefficient measured by the Support Vector Machine. A total of four boosted classifiers namely, XGBoost, AdaBoost, CatBoost, and LightGBM are trained using the selected features. The proposed work achieves an accuracy of 89%, 84%, 83%, 80% for Heart Failure Clinical Records, 81%, 80%, 83%, 82% for Single Proton Emission Computed Tomography, 90%, 82%, 93%, 80% for Single Proton Emission Computed Tomography F, 80%, 80%, 81%, 80% for Statlog Heart Disease, 80%, 85%, 83%, 86% for Cleveland Heart Disease, 82%, 85%, 85%, 82% for Hungarian Heart Disease, 80%, 81%, 79%, 82% for VA Long Beach, 97%, 89%, 98%, 97%, for Switzerland Heart Disease for four classifiers respectively. The suggested technique outperformed the other classifiers when evaluated against Random Forest, Classification and Regression Trees, Support Vector Machine, and K-Nearest Neighbor. Show more
Keywords: Henry gas solubility optimization, atom search optimization algorithm, XGBoost, adaboost, catboost, LightGBM
DOI: 10.3233/JIFS-221348
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6183-6218, 2023
Authors: Jansi Rani, J. | Dhanasekar, S. | Micheal, David Raj | Manivannan, A.
Article Type: Research Article
Abstract: In dealing with real world transportation problems, several issues are frequently encountered as a result of uncontrollable factors. To deal this uncertainties, many authors have suggested transportation problems with intuitionistic fuzzy parameters. In this article, fully intuitionistic fuzzy transportation problem (InFTP) is considered in which the parameters are triangular intuitionistic fuzzy numbers. To solve this, initially intuitionistic fuzzy branch and bound technique are applied to get the initial basic feasible solution and then intuitionistic fuzzy modified distribution (InFMODI) method is applied to acquire the optimal solution of the fully InFTP. Also, a new ordering is developed here in which some …properties of compensation, linearity, additive and partial order relations are satisfied. The optimal solution obtained from the proposed method satisfies the condition of optimality and feasibility. Finally, two numerical examples are provided to show the effectiveness of the proposed method. Show more
Keywords: Intuitionistic fuzzy number, intuitionistic fuzzy transportation problem, intuitionistic fuzzy initial basic feasible solution, intuitionistic fuzzy optimal solution
DOI: 10.3233/JIFS-221345
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6219-6229, 2023
Authors: Dong, Lihui | Yuan, Weijin | Deng, Yunfeng
Article Type: Research Article
Abstract: This paper proposes a new model for characterizing the emergency evacuation process of people during a disaster. This model considers the change of visual field based on a cellular automata model combined with a behavioral heuristic model. Using the behavioral heuristic model, the dynamic field parameters related to the change of visual field are first established. Then, new judgment rules are developed for personnel encountering obstacles by combining the characteristics of the new field of view. Finally, an analytical comparison is made between the proposed model and the traditional evacuation model in terms of the changes in the fields of …view and the number of evacuees. The results show that the level of path service determines the efficiency of evacuation. It is also seen that herd mentality acts as a hindrance in cases where the personnel are dependent while otherwise acting as a facilitator. It is also shown that the evacuation time increases by the number of evacuees up to a certain threshold. Beyond that threshold the evacuation time fluctuates within a certain range by increasing the number of evacuees is not affected by changes in the field of view. The new model is also faster than the social force model, easier to calculate on a large scale, and more realistic than the traditional cellular model. Show more
Keywords: Cellular automata, Pedestrian dynamics, view, pedestrian evacuation
DOI: 10.3233/JIFS-222587
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6231-6247, 2023
Authors: Yavuz, Akif | Sen, Osman Taha
Article Type: Research Article
Abstract: This study aims to investigate the predictability of a friction-induced nonlinear dynamic behavior on a simplified yet controlled laboratory experiment through the fuzzy logic approach. First, a mass-sliding belt experiment is built to observe the effects of several operating parameters on the occurrence of nonlinear dynamic behavior. Second, experiments are performed at various levels of these operating parameter, and the data are recorded. Third, fuzzy logic model architectures with different membership functions are built, where these operating parameters are assumed as the input parameters. The output of the fuzzy logic model architecture is defined as a new parameter called squeal …index. Finally, a fuzzy logic model with a 96.97% prediction accuracy is obtained. Hence, it is shown that the proposed model can provide insight about the dynamic behavior of the system of interest without solving the nonlinear governing equations. Furthermore, the proposed model allows the prediction of the system state at operating conditions where experimentation is not possible, and it can be used for the determination of the critical operating parameters at which the system behavior switches from one state to another. Show more
Keywords: Fuzzy logic modelling, dynamic instability, friction induced vibration, mass-sliding belt experiment, disc brake squeal
DOI: 10.3233/JIFS-223177
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6249-6264, 2023
Authors: Hasan, Mohammad Kamrul | Ali, Md. Yasin | Sultana, Abeda | Mitra, Nirmal Kanti
Article Type: Research Article
Abstract: Picture fuzzy set (PFS), is a newly developed apparatus to treaty with uncertainties in problems where the opinions are yes, no, neutral, and refusal types. Extension principle is one of the key tools for describing uncertainties. It provides a general method for existing classical mathematical concepts to address fuzzy quantities. It has numerous applications in various arena of our real life. However, there are less works on extension principle for picture fuzzy sets. In this article, new extension principles namely minimal extension principle and average extension principle are proposed for picture fuzzy sets. Various properties of the minimal extension principle …and the average extension principle for PFSs are also established. We also prove some properties of Zadeh’s extension principle for PFSs. Finally, arithmetic operations for PFSs based on the average extension principle are developed with numerical illustrations. Show more
Keywords: Picture fuzzy set, Zadeh’s extension principle, minimal extension principle, average extension principle, arithmetic operations
DOI: 10.3233/JIFS-220616
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6265-6275, 2023
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