Stock market forecasting using computational intelligence: A survey
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 …
market forecasting is highly demanding and most challenging task for investors, professional …
Time series analysis via network science: Concepts and algorithms
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 …
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 …
the flexibility and effectiveness in modeling and processing the uncertain information …
DS-VIKOR: A new multi-criteria decision-making method for supplier selection
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) …
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 …
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 …
such as, economic, environment, technical, social, etc. A selection of the best treatment …
Failure mode and effects analysis based on D numbers and TOPSIS
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 …
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) …
engineering domain. Risk priority number (RPN), which is the product of occurrence (O) …
A method of measuring uncertainty for Z-number
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 …
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 …
improve the performance of emergency systems. Facing the fact that the performance of …