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 …

The combination of fuzzy logic tools and multi-criteria decision making has a great relevance
in literature. Compared with the classical fuzzy number, Z-number has more ability to …

A Z-number is very powerful in describing imperfect information, in which fuzzy numbers are
paired such that the partially reliable information is properly processed. During a decision …

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 …

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 …

Real-world decision problems in decision analysis, system analysis, economics, ecology,
and other fields are characterized by fuzziness and partial reliability of relevant information …

This paper introduces two processes of ranking methods on Z‐numbers that are effectively
able to deal with uncertain decision‐making data. Decision making is based on …

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 …

Z-numbers, combined with “constraint” and “reliability”, has more power to express human
knowledge. How to determine the ordering of Z-numbers and how to make a decision with Z …