Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian by Jun Yang, Weiling Liu, Yonghua Li, Xueming Li, Quansheng Ge

“…Under the 5 m × 5 m scale, the model shows good performance for simulation of areas with various land use types. (2) Among simulations under four scenarios, the effect of traffic guidance on the development of construction land was more distinct under the economic development mode, which clearly showed the phenomenon of “agglomeration” along major traffic lines. (3) Jinshitan Street is adjacent to the sea, and land use changes are significant under the 4th scenario, and thus related departments should pay more attention. (4) Shortcomings of conventional cellular automata model in processing complex systems could be mitigated through the integration of fuzzy sets.…”
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Analyzing the quality evaluation of college English teaching based on probabilistic linguistic multiple-attribute group decision-making by Ruoxi Hu, Qingmao Wang

“…Considering the need to capture fuzzy information during the quality evaluation process, probabilistic linguistic term sets (PLTSs) are employed. …”
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Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters) by Mohammad Safaei, Somaye Moghari, Mohammad Kazem Fallah, Mehrdad Ghaznavi

“…Purpose: This research presents an application-oriented approach for developing machine learning models that consider the trade-off between model accuracy, processing speed, and efficient resource utilization, focusing on applications such as wearable smart systems.Methodology: A set of models is developed based on the Abstraction and Decision Fusion Architecture (ADFA), and then, using a multi-criteria decision-making approach, the appropriate models for the intended application are identified. …”
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Approximate Accuracy Approaches to Attribute Reduction for Information Systems by Deshan Liu, Dapeng Wang, Deqin Yan, Yu Sang

“…The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. …”
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Trustworthy collaborative evaluation of multi-service subjects in the cloud manufacturing model by Tao Yang, Yihuan Ding, Wei Chen

“…This model capitalizes on the strengths of intuitionistic fuzzy sets (IFSs) and cloud models in converting qualitative assessments into quantitative evaluations, and leverages the method of approximation of the order of ideal solutions (TOPSIS) to carry out a comprehensive assessment of the degree of trustworthy collaboration of the service subject. …”
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Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

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Provide a reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of feasibility-robust planning by Alireza Hamidieh, Maryam Besharat Meymandi

“…The reliability policy used in the distribution hub set has improved the confidence capability of the humanitarian distribution network. …”
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Intelligent Network Selection Mechanisms in the Internet of Everything System by Indrasen Singh, Meenakshi Munjal

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Crop Growth Monitoring System Based on Agricultural Internet of Things Technology by Jienan Wu

“…After improving the fuzzy algorithm, this paper builds an intelligent model, builds the system structure framework according to the actual needs of crop growth monitoring, sets up and analyzes the environmental parameters, and builds the crop growth monitoring system from multiple perspectives. …”
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Vibration Analysis and Optimal Control of Hydraulic Turbine Based on Sliding Mode Control Strategy by Xiaoping Huang, Yaqiong Zhang, Wenzhe Huang

“…Therefore, it is necessary to deeply study the mechanism of low-frequency oscillation of hydropower units, analyze the adverse factors to the system and adjust and control them. In this paper, a speed change method based on exponential rules is proposed on the basis of the traditional axial flow turbine model, and a coupling model of fuzzy sliding mode control of the turbine is constructed. …”
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Weighted Multimodel Predictive Function Control for Automatic Train Operation System by Shuhuan Wen, Jingwei Yang, Ahmad B. Rad, Shengyong Chen, Pengcheng Hao

“…Firstly, we cluster the data sample by using fuzzy-c means algorithm. Secondly, we identify parameter of cluster model by using recursive least square algorithm with forgetting factor and then establish the local set of models of the process of train operation. …”
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Gaussian-Based Soft Computing Approach to Alternative Banking System for Sustainable Financial Sector by Fan Yang, Hakan Kalkavan, Hasan Dinçer, Serhat Yüksel, Serkan Eti

“…For robustness check, this evaluation has also been performed for triangular and trapezoidal fuzzy sets. There are many novelties of this study. …”
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CONCEPTUAL BASES OF THE ENERGY EFFICIENT SYSTEM OF MANAGEMENT OF COMBINED UNITS OF WASTEWATER TREATMENT by V. N. Shtepa

“…The key functional of the unit – information-analytical subsystem of the formation control actions including: multilayer perceptrons self-organization Kohonen network, fuzzy cognitive map. The basic difference between the developed design and its analogues is the ability to adjust the settings of equipment adaptively on the basis of processing sensor data, information on the price of consumables, volley discharges of pollutants, a sudden change in the flow and other force majeure. …”
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Prediction of Surface Roughness in End Milling Process Using Intelligent Systems: A Comparative Study by Abdel Badie Sharkawy

“…They are (i) radial basis function neural networks (RBFNs), (ii) adaptive neurofuzzy inference systems (ANFISs), and (iii) genetically evolved fuzzy inference systems (G-FISs). …”
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Global Uniform Asymptotic Stability of a Class of Switched Linear Systems with an Infinite Number of Subsystems by L. F. Araghi, A. A. Suratgar, E. Feizi

“…Stability of switching systems with an infinite number of subsystems is important in some structure of systems, like fuzzy systems, neural networks, and so forth. …”
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Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network by Vu Viet Thang, F. F. Pashchenko

“…Finally, experiments conducted on some data sets extracted from the 802.11 networks and UCI data sets show the effectiveness of our new proposed methods.…”
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The Necessity for Information Space Mapping for Information Retrieval on the Semantic Web by Gregory B. Newby

“…The Semantic Web, through fuzzy matching of information spaces from different sources, will provide for much more specific information seeking than current Web-based search engines or other IR systems. …”
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Modeling and Oil Contamination Influence Control of a Vehicle Mounted and Unbalanced Barrel Pitching System by Yuanbo Chu

“…Secondly, the influence of oil contamination is categorized and the core decay parameters are determined, and then the fractional order fuzzy PID controller is designed. Finally, the simulation model of MATLAB/Simulink is built and the system simulation is carried out. …”
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Nonfragile H∞ Filter Design for Nonlinear Continuous-Time System with Interval Time-Varying Delay by Zhongda Lu, Guoliang Zhang, Yi Sun, Jie Sun, Fangming Jin, Fengxia Xu

“…This paper investigates nonfragile H∞ filter design for a class of continuous-time delayed Takagi-Sugeno (T-S) fuzzy systems with interval time-varying delays. …”
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Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response by Yuanxiang Luo, Haixin Hao, Lidong Fan

“…Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. A fuzzy set considering uncertainty probability distribution is constructed, and a two‐stage distributed robust planning model is established. …”
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