- Multi-Criteria Decision Making
- Stock Market Forecasting Methods
- Financial Distress and Bankruptcy Prediction
- Financial Markets and Investment Strategies
- Forecasting Techniques and Applications
- Technology Adoption and User Behaviour
- Grey System Theory Applications
- Credit Risk and Financial Regulations
- Laser Material Processing Techniques
- Climate Change Policy and Economics
- Economic and Technological Systems Analysis
- Smart Cities and Technologies
- Efficiency Analysis Using DEA
- Fuzzy Systems and Optimization
- Laser-Plasma Interactions and Diagnostics
- Scheduling and Timetabling Solutions
- Sustainable Agricultural Systems Analysis
- Laser-induced spectroscopy and plasma
- Energy and Environmental Sustainability
- American Sports and Literature
- Innovation Diffusion and Forecasting
- Risk and Portfolio Optimization
- Impact of AI and Big Data on Business and Society
- Law, Economics, and Judicial Systems
- Supply Chain and Inventory Management
Chongqing Technology and Business University
2023
Tianjin University of Science and Technology
2023
Stevens Institute of Technology
2020-2023
Central China Normal University
2023
Northeast Agricultural University
2021
Minzu University of China
2019
Shenyang Aerospace University
2014
Central University of Finance and Economics
2011
North China Electric Power University
2010-2011
Live-streaming e-commerce is the future development direction of retail industry. When retailers choose a live-streaming platform, they face test various risks such as insecure control capital flow, insufficient support public domain traffic, etc. Therefore, it necessary to evaluate platform help identify with lowest risk. Considering complexity platforms and ambiguity decision-makers thinking, current method for multi-criteria group decision-making (MCGDM) in fuzzy environment rarely...
For Dempster–Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy one methods for measuring evidence. Recently, some limitations theory are found. overcoming these limitations, modified theories given based on entropy. However, only special situation considered in each method. In this paper, a unified form belief proposed basis new method, scale frame discernment (FOD) and relative focal element with reference...
An efficiency-oriented innovation analysis will enhance the understanding of operational quality related to transformation process limited investments for improving outputs. The purpose this study was measure static-dynamic efficiency agricultural science, technology, and (ASTI) identify determinants across Group Twenty (G20) countries. First, static comprehensive ASTI measured employing Data Envelopment Analysis (DEA)-BCC model, some binding constraints higher were investigated. Then, we...
Recent literature implements machine learning techniques to assess corporate credit rating based on financial statement reports. In this work, we analyze the performance of four neural network architectures (MLP, CNN, CNN2D, LSTM) in predicting as issued by Standard and Poor's. We companies from energy, healthcare sectors US. The goal analysis is improve application algorithms assessment. To end, focus three questions. First, investigate if perform better when using a selected subset...
In 2012, Securities and Exchange Commission (SEC) mandated all corporate filings for any company doing business in the U.S. be entered into electronic data gathering, analysis, retrieval (EDGAR) system. this work, we are investigating ways to analyze available through EDGAR database. This may serve portfolio managers (pension funds, mutual insurance, hedge funds) get automated insights companies they invest in, better manage their portfolios. The analysis is based on artificial neural...
A crucial step for agricultural product merchants to achieve profitable and sustainable development in the live-streaming e-commerce age is evaluating risk of products platform. However, there isn’t much reliable research available right now on evaluation platforms. Therefore, this study suggests an improved method based interval-valued intuitionistic fuzzy multi-criteria group decision-making (MCGDM). This determines decision-maker weight criterion according levels professionalism...
Evaluating the risk of agricultural products live-streaming e-commerce platforms (abbreviation: platforms) is a key initiative for product merchants merchants) to achieve sustainable development. For uncertainty and evaluation environment fuzzy thinking decision makers (DMs), this paper proposes an improved method based on interval-valued intuitionistic (IVIF) multi-criteria group decision-making (MCGDM) evaluate platforms. The determines DMs' weights criteria expertise DMs in ranks...
In this paper, the time series model and grey prediction are established, stability of ARIMA is tested by difference test, carried out. The result taken as upper interval interval, lower interval. models established respectively. Secondly, paper establishes Pearson correlation coefficient to analyze relationship between lexical attributes percentage difficulty pattern attempt scores. Three indicators selected for words: word complexity, letter frequency number repeated letters, which...
Along with the maturity and standardization of market, asset-backed securitization financing is penetrating into construction operation stadium, especially for large stadium. In this paper, authors analyze procedures stadium current situations, put forward policy suggestions in China.
The new energy industry is a complicated system, involving number of subjects and requiring the collaboration multiple parties. This paper carries out analysis SD growth limit in China, based on current status characteristics China finds ways to eliminate limit, then puts forward suggestions Development Model New Energy Industry China.
In Artificial Intelligence, interpreting the results of a Machine Learning technique often termed as black box is difficult task. A counterfactual explanation particular "black box" attempts to find smallest change input values that modifies prediction output, other than original one. this work we formulate problem finding an optimization problem. We propose new "sparsity algorithm" which solves problem, while also maximizing sparsity explanation. apply algorithm provide simple suggestion...