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 …

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 …

Today's modern decision-making problem is designated by not being the most effective
fuzziness; however, additionally partial reliability also plays a crucial role. The incomplete …

Multi-criteria decision making (MCDM) under uncertain environment is still an open issue.
Recently, Z-number has been developed by Zadeh to model fuzzy numbers with the …

As a proactive reliability analysis tool, failure mode and effect analysis (FMEA) was widely
utilized in various industries to guarantee safety and reliability. Recently, many researchers …

Generally, decisions are based on information. To be useful, information must be reliable.
Basically, the concept of a Z-number relates to the issue of reliability of information. A Z …

Reliability of information can directly affect the accuracy of decision-making. Compared with
classical fuzzy sets, Z-number takes into account the uncertainty in information generation …

Linear programming (LP) is the operations research technique frequently used in the fields
of science, economics, business, management science, and engineering. Although it is …

In this article, we have developed an improved failure mode and effect analysis (FMEA)
model by leveraging the concepts of Z-number, rough number (RN), and probabilistic …

Multiple-criteria decision-making (MCDM) is an important branch of operations research
which judges multiple criteria under decision-making environments. In the process of …