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 …

Z-number is an effective model to describe uncertainty in the real world. Under the condition
that uncertainty reasoning is an important issue to process information, how to achieve Z …

Dempster–Shafer evidence theory is widely used in the information fusion field for its
effectivity in representing and handling uncertain information. However, applications of …

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) …

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 …

Identification of Influential nodes in complex networks is challenging due to the largely
scaled data and network sizes, and frequently changing behaviors of the current topologies …

Environmental assessment and decision making is complex leading to uncertainty due to
multiple criteria involved with uncertain information. Uncertainty is an unavoidable and …

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) …

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 …

China is the largest market for shared bicycles, and its “bicycle cemetery” phenomenon has
attracted widespread attention. The end treatment of abandoned bicycles has become a key …