A5080814061- Multi-Criteria Decision Making
- Rough Sets and Fuzzy Logic
- Fuzzy and Soft Set Theory
- Dental Implant Techniques and Outcomes
- Advanced Algebra and Logic
- Periodontal Regeneration and Treatments
- Fuzzy Systems and Optimization
- Dental materials and restorations
- Oral microbiology and periodontitis research
- Dental Radiography and Imaging
- Advanced Computational Techniques and Applications
- Risk and Safety Analysis
- Data Management and Algorithms
- Fuzzy Logic and Control Systems
- Data Mining Algorithms and Applications
- Optimization and Mathematical Programming
- Oral and gingival health research
- Renal Diseases and Glomerulopathies
- Wireless Networks and Protocols
- Regional Economic and Spatial Analysis
- Orthodontics and Dentofacial Orthopedics
- Endodontics and Root Canal Treatments
- Temporomandibular Joint Disorders
- Combustion and Detonation Processes
- Systemic Lupus Erythematosus Research
Minzu University of China
2018-2025
Shanghai Maritime University
2025
Stomatology Hospital
2018-2024
Peking University
2018-2024
Peking University Third Hospital
2023
National Clinical Research Center for Digestive Diseases
2021
National University of Defense Technology
2012-2021
Chinese Academy of Sciences
2021
Shanghai University
2020
King University
2019
Abstract Objectives The purpose of this in vitro study was to compare the trueness and precision complete arch implant impressions using conventional impression, intraoral scanning with without splinting, stereophotogrammetry. Materials Methods An edentulous model six implants used study. Four impression techniques were compared: (CI), (IOS) splinting (MIOS), stereophotogrammetry (SPG). industrial blue light scanner generate baseline scan from model. CI captured a laboratory scanner....
The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. In this paper, we present concepts of rough intuitionistic fuzzy sets and sets, investigate some properties in detail. Furthermore, classical representations approximation operators are presented. Finally, develop an approach to based on decision making numerical example is provided illustrate the developed approach.
In this paper, by integrating Pythagorean fuzzy set with N-soft set, we propose a generalization of called the theory and explore some related operations concerning including weak complement, extended union intersection, restricted intersection. Then two algorithms are introduced to sets for dealing multi-attribute group decision-making problems. Finally, practical example is provided illustrate validity practicality in Compared existing models, also elaborate advantages model.
Creating data reports is time-consuming, as it requires iterative exploration and understanding of data, followed by summarizing the insights. While large language models (LLMs) are powerful tools for processing text generation, they often struggle to produce complete that fully meet user expectations. One significant challenge effectively communicating entire analysis logic LLMs. Moreover, determining a comprehensive can be mentally taxing users. To address these challenges, we propose...
To mitigate the risk of hydrogen leakage in ship fuel systems powered by internal combustion engines, a Bayesian network model was developed to evaluate leakage. In conjunction with Bow-tie model, fuzzy set theory, and Noisy-OR Gate an in-depth analysis also conducted examine both causal factors potential consequences such incidents. The estimates likelihood at approximately 4.73 × 10−4 identifies key contributing events, including improper maintenance procedures, inadequate operational...
Raman spectroscopy was used to measure the frequencies of phonons in ${\mathrm{Si}}_{24}$ with an open clathrate structure at temperatures from 80 400 K simultaneous pressures 0 8 GPa. The frequency shifts different were substantially under either temperature or pressure. quasiharmonic behavior isolated by varying pressure low temperatures, and anharmonic pressures. Phonon modes dominated bond bending anomalous, showing stiffening softening Both changed markedly changes...
No nomogram of peri-implantitis was reported before which is valuable for risk-estimating, clinical decision-making, and better-patients-communicating.To identify the risk indicators develop a prediction model in treated severe periodontitis patients.A prospective study conducted on 100 patients with 214 implants. Periodontal peri-implant parameters were evaluated at implant surgery procedure (T1), follow-up (T2). Risk factors analyzed by logistic regression analyses generalized estimating...
The soft set theory, proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. By introducing generalization parameter which itself is multi-fuzzy, we define the concept of possibility multi-fuzzy sets. So
By combining the interval-valued hesitant fuzzy set and soft models, purpose of this paper is to introduce concept sets. Further, some operations on sets are investigated, such as complement, “AND,” “OR,” ring sum, product operations. Then, by means reduct level sets, we present an adjustable approach based decision making numerical examples provided illustrate developed approach. Finally, weighted also introduced its application in problem shown.
In this paper, we propose the theory of possibility Pythagorean fuzzy soft set and define some related operations concerning notion including complement, union, intersection, AND OR. Then a similarity measure is introduced to compare two sets for dealing with decision problems. Finally, practical example provided illustrate validity in making problem.
Soft set theory is a newly emerging mathematical tool to deal with uncertain problems. In this paper, by introducing generalization parameter, which itself trapezoidal fuzzy, we define generalized fuzzy soft sets and then study some of their properties. Finally, applications in decision making problem medical diagnosis are shown.
To investigate the dynamic changes of peri-implant microbiome in patients with a history periodontitis and to construct microbial prediction model.The prospective study was performed at one month (T1), year (T2) two years (T3) after restoration. Clinical examinations [probing depth (PD), bleeding on probing (BOP), suppuration (SUP)], radiographic sample collection were conducted three timepoints. Peri-implant sulcular fluid (PISF) collected analysed by 16S rRNA gene sequencing. Generalized...