Stock market forecasting using computational intelligence: A survey

G Kumar, S Jain, UP Singh - Archives of computational methods in …, 2021 - Springer
Stock market plays a key role in economical and social organization of a country. Stock
market forecasting is highly demanding and most challenging task for investors, professional …

Time series analysis via network science: Concepts and algorithms

VF Silva, ME Silva, P Ribeiro… - … Reviews: Data Mining …, 2021 - Wiley Online Library
There is nowadays a constant flux of data being generated and collected in all types of real
world systems. These data sets are often indexed by time, space, or both requiring …

Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy

F Xiao - Information Fusion, 2019 - Elsevier
Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …

DS-VIKOR: A new multi-criteria decision-making method for supplier selection

L Fei, Y Deng, Y Hu - International Journal of Fuzzy Systems, 2019 - Springer
How to select the optimal supplier is an open and important issue in supply chain
management, which can be considered as a multi-criteria decision-making (MCDM) …

Combining conflicting evidence using the DEMATEL method

W Zhang, Y Deng - Soft computing, 2019 - Springer
Dempster–Shafer evidence theory is widely used in the information fusion field for its
effectivity in representing and handling uncertain information. However, applications of …

A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers

F Xiao - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Health-care waste (HCW) management is a complex problem influenced by many aspects,
such as, economic, environment, technical, social, etc. A selection of the best treatment …

Failure mode and effects analysis based on D numbers and TOPSIS

T Bian, H Zheng, L Yin, Y Deng - Quality and Reliability …, 2018 - Wiley Online Library
Failure mode and effects analysis (FMEA) is a widely used technique for assessing the risk
of potential failure modes in designs, products, processes, system, and services. One of the …

A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method

Z Li, L Chen - Engineering applications of artificial intelligence, 2019 - Elsevier
Failure mode and effects analysis (FMEA) has been applied extensively in reliability
engineering domain. Risk priority number (RPN), which is the product of occurrence (O) …

A method of measuring uncertainty for Z-number

B Kang, Y Deng, K Hewage… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Z-number is a new framework of fuzzy sets that combines with constraint and reliability.
Managing the uncertainty of Z-number is an important issue in the fuzzy decision making of …

An enhanced fuzzy evidential DEMATEL method with its application to identify critical success factors

Y Han, Y Deng - Soft computing, 2018 - Springer
Due to the frequent occurrence of accidental and destructive disasters, it is essential to
improve the performance of emergency systems. Facing the fact that the performance of …