A5068463290- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Fuzzy Systems and Optimization
- Building Energy and Comfort Optimization
- Identification and Quantification in Food
- Bayesian Modeling and Causal Inference
- Advanced Algorithms and Applications
- Water Quality Monitoring Technologies
- Urban Heat Island Mitigation
- Advanced Neural Network Applications
- Fault Detection and Control Systems
- Energy Load and Power Forecasting
- Cognitive Science and Mapping
- Stochastic processes and financial applications
- Fractional Differential Equations Solutions
- Smart Grid Energy Management
- Fluid Dynamics and Mixing
- Statistical Methods and Inference
- Spectroscopy and Chemometric Analyses
- Photovoltaic System Optimization Techniques
- Fish Biology and Ecology Studies
Tianjin Agricultural University
2014-2024
Ministry of Agriculture and Rural Affairs
2023-2024
As an extension of fuzzy set, a Pythagorean set has recently been developed to model imprecise and ambiguous information in practical group decision-making problems. The aim this paper is introduce novel aggregation method for the analyze possibilities its application solving multiple attribute More specifically, new operator called induced ordered weighted averaging-weighted average (PFIOWAWA) developed. This inherits main characteristics both aggregate information. Some properties...
This paper develops some new decision making methods for multi-attribute (MADM) problems, in which the attribute weights take form of crisp numbers, and values interval-valued intuitionistic fuzzy information. First, based on Zhenyuan integral, an averaging (IVIFZA) operator geometric (IVIFZG) are introduced to facilitate aggregation The proposed operators allow one fully consider importance different combinations attributes and, therefore, highly suitable handle problems involving...
This study presents a real-time identification method for improving the accuracy and efficiency of counting hard clam larvae, overcoming limitations traditional manual methods. The proposed approach enhances YOLOX-S network by incorporating attention mechanism modules into feature layers up-sampling processes. model is subjected to comparative evaluations with YOLOv3, YOLOv4, YOLOv5, Faster R-CNN networks, demonstrating its superior performance. After 150 epochs, achieves training loss...
In this paper, we develop a new method for Atanassov's intuitionistic fuzzy decision making problems. We present the probabilistic ordered weighted distance (IFPOWD) operator. Its main advantage is that it uses distan
In this paper, we develop a new compensated split-step θ (CSSθ) method for stochastic differential equations with jumps (SDEwJs). First, it is proved that the proposed convergent strong order 1/2 in mean-square sense. Then condition of (MS) stability CSSθ obtained. Finally, some scalar test are simulated to verify results obtained from theory, and comparison between theta (CST) by Wang Gan (Appl. Numer. Math. 60:877-887, 2010) analyzed. Meanwhile, show higher efficiency method.
Fuel types are essential for the control systems of briquette biofuel boilers, as optimal combustion condition varies with fuel type. Moreover, use coal in biomass boilers is illegal China, and detection coals will, time, provide effective information environmental supervision. This study established a identification method based on object images, including straw pellets, blocks, wood coal. The YoloX-S model was used baseline network, proposed this improved performance by adding...
Simplified neutrosophic set (SNS) is a popular tool in modelling potential, imprecise, and uncertain information within complex environments. In this paper, method based on the integrated weighted distance measure entropy weight proposed for handling SNS multiple attribute group decision-making (MAGDM) problems. To end, simplified (SN) (SVNIWD) first developed overcoming limitations of existing methods. Afterward, SNIWD’s several properties particular status are studied. Moreover, flexible...
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Traditional biomass boiler operations predominantly rely on manual control, with adjustments made based operator experience. This approach not only demands considerable manpower but also leads to suboptimal resource utilization. Addressing the specific operational dynamics of boilers, this study introduces a controller designed around STM32 microcontroller. device employs modular architecture and incorporates cost-effective chips peripheral components. To enhance energy efficiency overall...