Article
Computer Science, Artificial Intelligence
Guoping Lin, Linlin Xie, Jinjin Li, Jinkun Chen, Yi Kou
Summary: This paper introduces an important expanded quantification fuzzy rough set model, the local double quantitative fuzzy rough set model over two universes, which is used to measure the relative quantitative information between fuzzy similarity classes and basic concepts. It addresses the issue of existing models ignoring the absolute quantitative information in the fuzzy information system. The properties, decision rules, and an effective reduction method of the model are studied, and experimental comparisons demonstrate its computational efficiency and approximate accuracy in concept approximation and reduction.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Murat Diker, Ayseguel Altay Ugur
Summary: The purpose of this paper is to demonstrate the reasonable connection between fuzzy relations and (textural) fuzzy direlations using fuzzy logical connectives, and to provide a new perspective on approximation operators by utilizing fuzzy rough set models over two universes with textures. The study investigates the serialities of fuzzy relations in terms of fuzzy logic connectives using fuzzy direlations. Various fuzzy logic systems are explored, and it is shown that the textural serialities offer alternative descriptions of the serialities of a fuzzy relation based on parameters. Moreover, the paper discusses and obtains natural fuzzifications of rough set models over two universes without considering the motivation of the semantic link with classical Pawlak rough sets. It is further demonstrated that a textural fuzzy rough set model serves as an efficient template for the basic properties of various fuzzy rough set models over two universes. The revised fuzzy rough set approximations with two universes are shown to be the natural extensions of the loose and tight approximations proposed by De Cock et al.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Xiaoyuan Hu, Bingzhen Sun, Ting Wang, Chao Jiang
Summary: This paper introduces a double-quantitative decision rough set method over two universes to address the current African swine fever epidemic. The method considers the characteristics of ASF decision-making problems and calculates the upper and lower approximations of the ASF decision objects, as well as the positive region.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Linlin Xie, Guoping Lin, Jinjin Li, Yi Kou
Summary: This paper proposes a local fuzzy rough set model over two universes to formalize a data table corresponding to two universes and their relations. The existing models are mixed with uncertain factors in the process of given relation. The experiment results show that the proposed model has better performance in classification and decision-making.
Article
Physics, Multidisciplinary
Saba Ayub, Muhammad Shabir, Rizwan Gul
Summary: The theories of rough set and fuzzy set are applied to handle uncertainty in data analysis. A new approach to decision-making, called Linear Diophantine fuzzy set, is introduced, and its structural properties are explored. The connection between Linear Diophantine fuzzy set and fuzzy topology is established, and the similarity relations among Linear Diophantine fuzzy sets are studied. A decision-making approach based on Linear Diophantine fuzzy set is proposed, and a numerical example is provided for comparison with existing techniques.
Article
Computer Science, Information Systems
Haibo Jiang, Bao Qing Hu
Summary: Decision-theoretic rough sets (DTRS) have been widely used in risk decision-making as a classic model of three-way decisions. In this paper, we propose a decision-theoretic fuzzy rough set (DTFRS) model in hesitant fuzzy information systems and discuss its application in multi-attribute decision-making (MADM). The established method not only considers decision risk, but also provides instructions on how to choose actions for each alternative and gives corresponding semantic explanations.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Bingzhen Sun, Sirong Tong, Weimin Ma, Ting Wang, Chao Jiang
Summary: This article explores the approximation of uncertainty information with Pythagorean fuzzy information and grey relational analysis in a multi-granularity space. It introduces a new method for calculating attribute weight, establishes a multi-granulation rough set model, and applies it to solve psychological evaluation problems.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Computer Science, Artificial Intelligence
Dan Yang, Mingjie Cai, Qingguo Li, Feng Xu
Summary: In this paper, a novel fuzzy probabilistic rough set model based on λ-fuzzy sets is proposed, and the application field is further expanded in a multigranulation context. Numerical examples and experimental results demonstrate the superiority of the proposed models in classification and decision-making problems.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
(2022)
Article
Computer Science, Information Systems
Kai Zhang, Jianhua Dai
Summary: The TOPSIS method is a technique for sorting and classifying alternatives. This study introduces decision-theoretic rough fuzzy sets to expand the application scope of the TOPSIS method. A novel TOPSIS method is proposed that simultaneously handles sorting and classification using the principles of the TOPSIS method and decision-theoretic rough fuzzy sets. The method incorporates fuzzy concepts, defines decision areas and joint decision areas, and establishes sorting rules and decision processes.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Ying Han, Sheng Chen, Xiaoning Shen
Summary: The paper proposes a generalized concept of bipolar-valued fuzzy rough set in two universes, which overcomes the limitations of the bipolar-valued rough fuzzy set in one universe. It introduces inconsistent bipolarity into the crisp approximation space and considers interrelations among different sources' inconsistent bipolarity information. The new concept provides a new perspective to rough set theory and related applications, and two methods for decision-making problems with inconsistent fuzzy bipolarity information are proposed.
Article
Computer Science, Artificial Intelligence
Mengmeng Li, Chiping Zhang, Minghao Chen, Weihua Xu
Summary: This paper proposes two pairs of multigranulation double-quantitative decision-theoretic rough sets models to address the issue of incomplete reflection of relative and absolute information in traditional models. Through the study of decision rules and the inner relationship between these models, the effectiveness and superiority of the proposed models are further demonstrated.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Mathematics
Fernando Chacon-Gomez, M. Eugenia Cornejo, Jesus Medina
Summary: This paper investigates different methods for classifying new objects using decision rules in decision-making processes. These methods determine the best possible decision based on various indicators associated with the decision rules.
Article
Computer Science, Artificial Intelligence
Wenqing Fu, Ahmed Mostafa Khalil
Summary: This paper introduces the concept of neighborhood rough sets and studies their basic properties, relationships with covering rough sets, and probabilistic neighborhood rough sets. It also discusses neighborhood rough sets over two different universes and algorithms designed to solve rough decision-making problems based on them. Comparisons between different approaches are made to clarify differences in applicability.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Bin Yang, Mohammed Atef
Summary: In this paper, we propose novel classes of fuzzy beta-covering-based rough set models over two distinct universes. We define fuzzy beta-minimal and beta-maximal descriptions over two distinct universes and investigate their characteristics. We also propose four novel types of fuzzy beta-neighborhoods and investigate their properties, as well as studying four types of beta-neighborhoods.
FUZZY SETS AND SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Bin Yang
Summary: In this paper, a new type of fuzzy covering-based rough set model over two different universes is proposed using Zadeh's extension principle. The paper focuses on defining fuzzy beta-neighborhood, investigating its properties, defining the new fuzzy covering-based rough set model, and studying its properties. The paper also explores the necessary and sufficient condition for two fuzzy beta-coverings to generate the same fuzzy covering lower approximation or upper approximation. Moreover, the matrix representations of the fuzzy covering lower and upper approximation operators are investigated, and a new approach to a multiple criteria decision making problem is proposed based on the fuzzy covering-based rough set model over two universes.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Engineering, Mechanical
Lihao Huang, Huang Yuan, Haiyan Zhao
Summary: Lattice metamaterials are increasingly used in weight-critical applications, and additive manufacturing technology provides more design freedoms. A new homogenization method based on finite element methods was proposed for accurate modeling of the mechanical behavior of complex microstructures. The mapping relation between lattice and finite element mesh, as well as edge effects, were clarified and modeled. The homogenization approach showed high numerical accuracy and outperformed the classical continuum model.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yun Bian, Zhilin Zheng, Xu Fang, Hui Jiang, Mengmeng Zhu, Jieyu Yu, Haiyan Zhao, Ling Zhang, Jiawen Yao, Le Lu, Jianping Lu, Chengwei Shao
Summary: In this study, an automated preoperative artificial intelligence algorithm was developed and validated for the segmentation of tumor and lymph nodes in patients with pancreatic ductal adenocarcinoma (PDAC) using CT imaging. The performance of the algorithm was compared to radiologists and clinical models, and it was found that the AI model outperformed the other models in predicting lymph node metastasis. The AI model-predicted positive LN metastasis was also associated with worse survival.
Article
Agronomy
Yanghui Sui, Yanbo Wang, Wanxin Xiao, Cheng Chang, Shuping Zhang, Haiyan Zhao
Summary: Biochar amendment is a sustainable agricultural strategy to improve crop yields. This research found that applying biochar every 5 years maintained root length in maize at a certain stage, and biochar-fertilizer application increased grain yield. The rhizosphere of maize was mainly colonized by Proteobacteria, Firmicutes, Sphingomonas, and Bradyrhizobium. The results suggest that biochar dose-specific effects on soil microbiome diversity may influence maize yield and root attributes.
Article
Nanoscience & Nanotechnology
Jincong Chen, Yutong Cao, Jiayun Pei, Haiyan Zhao
Summary: In this study, a multifunctional bilayer composite actuator with controllable structures and high photothermal conversion efficiency was designed and prepared. The actuator, consisting of a graphene/polydimethylsiloxane (PDMS) composite layer and a PDMS layer, exhibited good hydrophobicity, high photothermal conversion performance, and rapid photo-response capability. By thermal regulation, ultraviolet laser cutting, and assembly, the actuator achieved shape programmable configuration in three-dimensional directions. Bionic crawling robots achieved a crawling speed of 0.065mm/s, and liquid tracking robots achieved various complex motions. This work provides a simple and effective method for the preparation and realization of multifunctional actuators based on graphene composite materials.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Wenhao Bai, Tongtong Xuan, Haiyan Zhao, Haorui Dong, Xinru Cheng, Le Wang, Rong-Jun Xie
Summary: Ultra-high-efficiency green perovskite light-emitting diodes (PeLEDs) are achieved by regulating charge carrier transport and near-field light distribution to reduce electron leakage and enhance light outcoupling efficiency, resulting in quantum efficiencies surpassing 30%. This is accomplished by using Ni0.9Mg0.1Ox films with high refractive index and increased hole carrier mobility as the hole injection layer, and inserting a polyethylene glycol layer between the hole transport layer and the perovskite emissive layer to block electron leakage and reduce photon loss. This study provides an interesting idea for constructing super high-efficiency PeLEDs by balancing electron-hole recombination and enhancing light outcoupling.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Analytical
Tianjia Sun, Qingli Yang, Yingquan Zhang, Boli Guo, Yichen Guo, Qi Jia, Haiyan Zhao
Summary: This study investigated the feasibility of using Raman spectroscopy and chemometrics to identify the geographical origin of peanuts. A total of 161 peanut samples collected from different provinces in China were analyzed using Raman spectroscopy. The results showed significant differences in the Raman spectra of peanuts from different provinces and cities. The classification accuracy was highest using the k-nearest neighbor method. This study demonstrates the potential of Raman spectroscopy with chemometrics for traceability of agricultural products.
ANALYTICAL LETTERS
(2023)
Article
Environmental Sciences
Haiyan Zhao, Ziqian Wang, Yonghong Liang, Tianxiang Wu, Yiliang Chen, Jieru Yan, Yiyong Zhu, Dahu Ding
Summary: Efficient adsorption of antibiotics from livestock wastewater is urgently needed. In this study, alkaline-modified biochar with larger surface area and pore volume was used for the adsorption of different types of antibiotics. The adsorption process was mainly determined by chemisorption and was influenced by solution pH. The study also revealed that the -OH groups on biochar surface were the dominant active sites for antibiotics adsorption. Furthermore, the biochar showed synergistic adsorption towards Zn2+/Cu2+ and antibiotics in a multi-pollutants system.
ENVIRONMENTAL RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
Dan Zhao, Xiaoyun Li, Mengyu Xu, Yan Jiao, Huan Liu, Xincai Xiao, Haiyan Zhao
Summary: This paper reports the preparation of yellow-green-fluorescent and high-quantum yield carbon dots (4-ACDs) and investigates their optical properties. The 4-ACDs show excellent broad-spectrum antibacterial activity and biocompatibility, making them ideal for cell imaging. The coupling of 4-ACDs and lysozyme (LZM) results in CDs-LZM complex with strong antibacterial activity against Gram-positive bacteria and efficient elimination of biofilm.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Chemistry, Applied
Tianjia Sun, Yingquan Zhang, Qingli Yang, Jinfu Ban, Boli Guo, Bo Zhang, Haiyan Zhao
Summary: The study aimed to investigate the spatio-temporal variation of arabinoxylan (AX) and alkylresorcinol (AR) in wheat. The contents of total arabinoxylan (TOT-AX), water-extractable arabinoxylan (WE-AX), and alkylresorcinol (AR) in wheat from the main wheat producing areas of China were analyzed. Factors such as geographical origin, variety, harvest year, and irrigation frequency were found to significantly affect the AX and AR contents in wheat grains. The study identified Xiaoyan 22, Xinmai 18, and Hengguan 35 as the varieties with the highest TOT-AX, WE-AX, and AR contents, respectively.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Physical
Fan Yang, Jiayun Pei, Haiyan Zhao
Summary: This study investigates ultrathin carbon-deficient molybdenum carbide (MoC0.66) as a catalyst for the capture and conversion of carbon dioxide (CO2) to methane (CH4). The results show that MoC(0.66) exhibits remarkable catalytic activity for CO2 hydrogenation to CH4. Unlike conventional catalysts, the limiting step of the MoC0.66 catalyst is determined by the release of *OH species during the CO2 reduction reaction (CO2RR). Increasing the temperature improves the release of H2O and CH4 as well as the selectivity of the CO2RR.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Biochemistry & Molecular Biology
Na Li, Hongyue Zhang, Min Cui, Jujie Ren, Jingru Huang, Bao Sun, Haiyan Zhao, Cong Zhang
Summary: The preparation of covalent polyoxometalate organic frameworks (CPOFs) was introduced using polyoxometalate and covalent organic frameworks. The CPOFs were synthesized by functionalizing polyoxometalate with an amine group and then reacting it with 2,4,6-trihydroxybenzene-1,3,5-tricarbaldehyde. The PtNPs-CPOFs-MWCNTs nanocomposites were formed by incorporating PtNPs and MWCNTs into the CPOFs material, resulting in excellent catalytic activity and electrical conductivity for the electrochemical thymol sensors.
Article
Engineering, Manufacturing
Chaochao Wu, Haiyan Zhao, Yang Li, Pu Xie, Feng Lin
Summary: This paper investigates the impact of surface morphology on the powder bed fusion process. A high-fidelity model is used to simulate four typical surface morphologies and analyze heat and mass transfer. The formation mechanisms, including morphology coalescence, pre-heating and re-melting, and the lateral extension of melt pool, are identified. The correlation between surface morphologies and internal build quality is also discussed.
ADDITIVE MANUFACTURING
(2023)
Article
Cell Biology
Chen Zhang, Yue Sun, Yingying Guo, Jingjing Xu, Haiyan Zhao
Summary: The study reveals that JMJD1C is highly expressed in a PAH mouse model, and its inhibition can ameliorate pathological features of PAH. JMJD1C knockdown reduces PASMC proliferation and impairs their adaptation to hypoxia, while suppressing the STAT3 signaling pathway. The findings suggest that JMJD1C induces glycolytic processes and promotes PASMC proliferation and pulmonary vascular remodeling in PAH.
CELL DEATH DISCOVERY
(2023)
Article
Biochemistry & Molecular Biology
Amit S. Nilkar, Christopher J. Orme, John R. Klaehn, Haiyan Zhao, Birendra Adhikari
Summary: Carbon capture has been a significant concern in the twenty-first century due to the rising levels of carbon dioxide (CO2) in the atmosphere. The current atmospheric CO2 concentration is above 420 parts per million (ppm), 70 ppm higher than 50 years ago. Research on carbon capture has mainly focused on higher concentration flue gas streams, neglecting those from steel and cement industries due to their lower CO2 concentrations and higher costs. Membrane-based capture processes are considered cost-effective and environmentally friendly alternatives.
Article
Nanoscience & Nanotechnology
Weiye Jin, Jiayun Pei, Pu Xie, Jincong Chen, Haiyan Zhao
Summary: Accurately predicting the mechanical properties of graphene-reinforced metal matrix composites is of utmost importance. In this study, a LSTM model based on MD calculation data was used to accurately predict the mechanical response and key mechanical properties of nickel-graphene composite nanomaterials. The results demonstrated the remarkable ability of LSTM models in accurately predicting the mechanical properties of these nanomaterials.
ACS APPLIED NANO MATERIALS
(2023)