- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Rough Sets and Fuzzy Logic
- Fuzzy Systems and Optimization
- Microwave Imaging and Scattering Analysis
- Cognitive Science and Mapping
- Advanced Algebra and Logic
- Energy Load and Power Forecasting
- Market Dynamics and Volatility
- Fuzzy and Soft Set Theory
- Time Series Analysis and Forecasting
- Complex Systems and Time Series Analysis
- Stock Market Forecasting Methods
- Bayesian Modeling and Causal Inference
- Facility Location and Emergency Management
- Ultrasonics and Acoustic Wave Propagation
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Efficiency Analysis Using DEA
- Sustainable Supply Chain Management
- Photoacoustic and Ultrasonic Imaging
- Forecasting Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Algorithms and Applications
- Remote Sensing in Agriculture
Anhui University
2016-2025
Anhui University of Finance and Economics
2021
East China Normal University
2009-2020
Université Toulouse III - Paul Sabatier
2020
Université de Toulouse
2020
Centre d'Études Spatiales de la Biosphère
2020
Institut de Recherche pour le Développement
2020
Centre National de la Recherche Scientifique
2020
State Key Laboratory of Luminescent Materials and Devices
2019
South China University of Technology
2019
A stable narrow-band green phosphor MgAl<sub>2</sub>O<sub>4</sub>:Mn<sup>2+</sup>peaking at 525 nm with a full-width half-maximum of 35 and quantum efficiency 45% upon 450 blue-light excitation is demonstrated, which has good promising for wide color gamut backlight display.
Hesitant fuzzy linguistic preference relation (HFLPR) is a new structure that the decision makers (DMs) are hesitant about several possible terms of information for pairwise comparison between alternatives. This paper examines additive consistency HFLPR with expansion principle term sets (HFLTSs). In order to normalize HFLTSs different numbers terms, least common multiple (LCME) proposed. According LCME principle, consistent index an defined measure level HFLPR. For improving unacceptable...
In multiattribute group decision-making (MAGDM) problems, the data envelopment analysis (DEA) cross-efficiency method is an effective tool to evaluate each unit. However, this usually assumes that decision-maker (DM) completely rational, which ignores risk psychology of DM in process. To compensate for deficiency, article proposes MAGDM based on trust relationships and DEA regret cross-efficiency. First, we construct a modified model CCR model. Then, propose method. This involves Next,...
In this paper, we introduce a new operator called the continuous interval-valued intuitionistic fuzzy ordered weighted averaging (C-IVIFOWA) for aggregating values. It combines (IFOWA) and (C-OWA) by controlling parameter, which can be employed to diminish fuzziness improve accuracy of decision making. We further apply C-IVIFOWA aggregation multiple values obtain wide range operators including (WC-IVIFOWA) operator, (OWC-IVIFOWA) combined (CC-IVIFOWA) operator. Some desirable properties...
In this study, the concept of linguistic Z-number fuzzy soft set ( L Z n F S S) is proposed to describe multiple uncertainties in practical decision making problems. combines concepts set, Z-number, and which could reflect both uncertainty structure detailed evaluations. As an initial idea, operations on s are put forward, properties such also discussed. With traditional based procedure procedure, a novel group developed solve multiattribute with Z-numbers. Wherein extended technique for...
Air pollution forecasting plays a vital role in environment warning and control. studies can also recommend pollutant emission control strategies to mitigate the number of poor air quality days. Although various literature works have focused on decomposition-ensemble model, concerning endpoint effect ensemble empirical mode decomposition (EEMD) model sub-series selection are still limited. In this study, hybrid approach (EEMD-MM-CFM) is proposed based integrated EEMD with condition mirror...
In most existing linguistic distribution multiple criteria group decision-making (MCGDM) models, the sample size of assessment (LDA) is often neglected, and decision makers are viewed to be independent. The probabilistic closely related size, there exist more or fewer interference effects among different individual opinions. Thus, this article develops a quantum framework for modeling in MCGDM process. First, considering information, we redefine LDAs provide new computational model them....
Abstract Accurate soybean futures price prediction is critical to related agricultural production, warehousing, and trading. Interval forecasting can avoid the loss of fluctuation information evaluate uncertainty prices. However, most previous studies only consider single‐type auxiliary variable, which will cause deficiency valued information. Moreover, research concentrating on internet search index ignores habits investors, resulting in subjectivity keyword selection. Therefore, a novel...