Applying the Theory of Multi-Operations to Building Decision-Making Systems with a Large Number of Uncertainties by Sergey Todikov, Yulia Shichkina, Nikolay Peryazev

“…This article is devoted to the practical application of multi-operations theory to the construction of decision-making systems and the description of the subsequent research results. …”
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The Optimization Model of Target Recognition Based on Wireless Sensor Network by Zheng Dou, Yu Sun, Yun Lin

“…In the application of opportunistic networking in wireless sensor network, the technology of target recognition is very important. …”
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A Two-Sided Stable Matching Model of Cloud Manufacturing Tasks and Services considering the Nonlinear Relationship between Satisfaction and Expectations by Yujie Zheng, Meiyan Li, Jiakun Liu

“…As the expectations of SDs and SPs are difficult to be quantified directly, an evaluation method based on interval-valued hesitant fuzzy linguistic sets (IVHFLSs) is first presented. …”
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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…This scheme combines the chaos enhanced drosophila optimization algorithm (CFOA) and the fuzzy clustering segmentation technology, expands the application scope of the algorithm, improves the accuracy of image recognition and anti-noise performance, and carries out multi-data fusion with the laser ranging sensor data. …”
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A Model-Based Coordinated Control Concept for Steam Power Plants by Ali Chaibakhsh, Ali Ghaffari

“…An application of model-based coordinated control concept for improving the performance and maneuverability of once-through power plants is presented. …”
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Green Supplier Selection via an Integrated Multi-Attribute Decision Making Approach by Huseyin Selcuk Kilic, Ahmet Selcuk Yalcin

“…In this study, two robust multi-attributedecision making techniques, Intuitionistic Fuzzy AHP (IF-AHP) and PROMETHEE,are used in an integrated way to better handle this selection problem. …”
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Coordinated Control Strategy for Stability Control and Trajectory Tracking with Wheel-Driven Autonomous Vehicles Under Harsh Situations by Gang Liu, Wensheng Shao

“…An adaptive trajectory tracking control is developed, utilizing real-time updates of tire cornering stiffness; for the direct yaw moment required for stability control, an integral sliding-mode control is adopted, and the chatter problem of the integral sliding-mode controller is optimized by a fuzzy controller. The coordinated control of trajectory tracking and vehicle stability is ultimately attained through the application of the normalized stability index. …”
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Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

“…In this research, the fuzzy Delphi method was used to screen the factors and Copras and Mabac techniques were used to prioritize the screened factors. …”
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The Establishment and Evaluation Model of the Thematic Deep-Learning Teaching Module by Kai-Chao Yao, Li-Chiou Hsu, Jiunn-Shiou Fang, Yi-Jung Chen, Zhou-Kai Guo

“…In recent years, the application of artificial intelligence (AI) in industry has matured, requiring deeper learning and integration of existing technologies. …”
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Complexity Assessment in Projects Using Small-World Networks for Risk Factor Reduction by Juan-Manuel Álvarez-Espada, José Luis Fuentes-Bargues, Alberto Sánchez-Lite, Cristina González-Gaya

“…Also, the integration of fuzzy logic in the model facilitates the incorporation of imprecise or partially defined information. …”
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Factors Influencing the Safety Enhancement and Cost Reduction in Site Layouts of Construction Projects by Amirhossein Javaherikhah, Payman Alimohammadi, Hadi Sarvari, David J. Edwards, Daniel W. M. Chan, Clara Cheung

“…Next, we utilized the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy logic to examine causal relationships among the factors. …”
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Centroid growth selective clustering method for surface defect detection in silicon nitride ceramic bearing rollers by ZhaoDong Wang, ZhengYu Xiong, FaLiang Wang, WenZhi Liao, Zeyad Farisi, GangFu Rao, Kun Hu

“…To address these challenges, this paper proposes the Centroid Growth Selective Clustering Method for the accurate detection and segmentation of fuzzy surface defect features. The method first analyzes the discontinuities in the notch regions associated with fuzzy edges, determining the image centroid based on Euclidean distance probabilities. …”
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Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning by Zhibin Jiang, Zhibin Jiang, Keli Hu, Keli Hu, Jia Qu, Zekang Bian, Zekang Bian, Donghua Yu, Donghua Yu, Jie Zhou, Jie Zhou

“…Although transfer learning has been implemented in EEG signal recognition, many existing methods are designed specifically for certain intelligent models, limiting their application and generalization.MethodsTo broaden application and generalization, an extended-LSR-based inductive transfer learning method is proposed to facilitate transfer learning across various classical intelligent models, including neural networks, Takagi-SugenoKang (TSK) fuzzy systems, and kernel methods.Results and discussionThe proposed method not only promotes the transfer of valuable knowledge from the source domain to improve learning performance in the target domain when target domain training data are insufficient but also enhances application and generalization by incorporating multiple classic base models. …”
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Identification of the Physical Fabric Potential to Infill Development Applying Decision Making and GIS Models (case study: Ahvaz) by Ahmad Pourahmad, Saeid Zanganeh Shahraki, Mahmoud Arvin

“…1- Introduction Spatial - physical growth of cities makes many problems such as waste of energy, destruction of environment, an increase of urban infrastructure and service expenses, a change of agriculture land application , air and soil pollution, lack of security for the residents’ demands etc. …”
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A Decision Support System for Classifying Suppliers Based on Machine Learning Techniques: A Case Study in the Aeronautics Industry by Ana Claudia Andrade Ferreira, Alexandre Ferreira de Pinho, Matheus Brendon Francisco, Laercio Almeida de Siqueira, Guilherme Augusto Vilas Boas Vasconcelos

“…This paper presents the application of four machine learning algorithms to segment suppliers in a real case. …”
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Clustering with Uncertainty: A Literature Review to Address a Cross-Domain Perspective by Salvatore Flavio Pileggi

“…In more technical terms, solutions in the literature present a certain inclination to mixed methods, in addition to the classic application of Fuzzy Logic and other probabilistic approaches. …”
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Risk Analysis of Digital Twin Project Operation Based on Improved FMEA Method by Longyu Li, Jianxin You, Tao Xu

“…To address these challenges, this study proposes an improved failure mode and effect analysis (FMEA) framework by integrating double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). …”
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Advances in Developments and Trends of UAV Technology in the Context of Precision Agriculture by Mingxia Li, Jiyu Li

“…Flight control performance has been greatly improved through innovations such as free-tail configuration optimization and fuzzy sliding mode composite control, ensuring stable operations in complex environments. …”
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Automated Decision-Making with TOPSIS for Water Analysis by Javanbakht T.

“…This paper aims to present a new application of TOPSIS with an automated decision-making process for the analysis of drinking water. …”
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Quantum computing for solving Bayesian networks of bridges – method and recommendations by Tareq Abdelmalek, Fadi Oudah

“…The use of quantum computing as an efficient alternative to classical computing is rapidly evolving in diverse engineering applications to solve complex numerical problems. As its application becomes increasingly prominent in the future, its use should be complemented by validation and practical recommendations. …”
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