A5089218717- Neural Networks Stability and Synchronization
- Chaos control and synchronization
- Fuzzy and Soft Set Theory
- Multi-Criteria Decision Making
- Fuzzy Logic and Control Systems
- Advanced Memory and Neural Computing
- Nonlinear Dynamics and Pattern Formation
- Stability and Control of Uncertain Systems
- stochastic dynamics and bifurcation
- Neural Networks and Applications
- Advanced Optimization Algorithms Research
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
- Matrix Theory and Algorithms
- Quantum chaos and dynamical systems
- Fuzzy Systems and Optimization
- Iterative Methods for Nonlinear Equations
- Stability and Controllability of Differential Equations
- Distributed Control Multi-Agent Systems
- Sparse and Compressive Sensing Techniques
- Adaptive Control of Nonlinear Systems
- 2D Materials and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Nanomaterials and Printing Technologies
- Mathematical Inequalities and Applications
Chongqing Three Gorges University
2016-2025
University of Electronic Science and Technology of China
2023-2024
University of Chinese Academy of Sciences
2022-2024
Guangdong University of Foreign Studies
2023-2024
Beijing Jiaotong University
2024
Harbin Institute of Technology
2022-2024
Southwest University
2013-2023
Institute of Computing Technology
2022-2023
Chinese Academy of Sciences
2023
Southwest University of Science and Technology
2023
In this paper, based on a three-dimensional Bao system, memristor-based hyper-chaotic Bao-like system is successfully constructed, and simulated equivalent circuit designed, which used to verify the chaotic behaviors of system. Meanwhile, control method called periodically intermittent with variable width proposed. The sequence in proposed not only variable, but also monotonically decreasing, can effectively stabilize most existing nonlinear systems. Moreover, controlled by combining...
Pythagorean fuzzy set (PFS) is a significant soft computing tool for tackling embedded fuzziness in decision-making. Many methods have been studied to facilitate the application of PFS modeling practical problems, among which concept correlation coefficient very important. This article proposes some novel between PFSs via three characteristic parameters by incorporating ideas deviation, variance, and covariance. These evaluate magnitude relationship, show potency PFSs, also indicate whether...
<abstract><p>The idea of Pythagorean fuzzy sets (PFSs) has been extensively applied in various decision-making scenarios. Many the applications PFSs were carried out based on similarity functions. Some methods functions for (SFPFSs) cannot be trusted a reliable interpretations practical cases due to some their setbacks. In this work, new method SFPFSs is developed with capacity outsmart efficiency extant terms precise results and appropriately satisfying rules SFs. The described...
Decision-making (DM) as a critical aspect of every human endeavor has greatly been challenged by the presence uncertainties and imprecisions. Albeit, concept intuitionistic fuzzy sets (IFSs) great help in resolving imprecisions DM via distance operators. Many authors have constructed sundry measuring techniques under IFSs, but none them considered tendency coefficients parameters weights elements upon which IFSs are defined. In this paper, new measure between is constructed, we call...
This paper presents an extension of the three-dimensional Bao system by incorporating a memristor as feedback element, thereby constructing four-dimensional hyper-chaotic system. By analyzing dynamic properties system, study confirms system’s complex and rich behavior. An analog circuit is designed using basic electronic components, validating consistency between circuit’s simulated numerical results. Based on these findings, novel control strategy proposed: monotonic width-adjustable pulse...
Pythagorean fuzzy set is a reliable technique for soft computing because of its ability to curb indeterminate data when compare intuitionistic set. Among the several measuring tools in environment, correlation coefficient very vital since it has capacity measure interdependency and interrelationship between any two arbitrary sets (PFSs). In coefficient, some techniques calculating PFSs (CCPFSs) via statistical perspective have been proposed, however, with limitations namely; (i) failure...
The process of computing correlation among attributes an ordinary database is significant in the analysis and classification a data set. Due to uncertainties embedded classification, encapsulating techniques using Pythagorean fuzzy information appropriate curb uncertainties. Although coefficient between (PFD) applicable measure, its output not reliable because intrinsic effect other interfering PFD. fact that coefficients environment could remove PFD, notion partial measure (PFPCM) necessary...