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 …

The new concept of a Z–number has been recently introduced in decision making analysis.
This concept is capable of effectively dealing with uncertainty in information about a …

The concept of Z‐number, is very new in the literature, proposed by Zadeh in 2011. The Z‐
number Z=(A, B) is a pair of fuzzy numbers where the first component represents 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 …

Z-number, a new concept describes both the restriction and the reliability of evaluation, is
more applicable than fuzzy numbers in the fields of decision making, risk assessment etc …

The theory of fuzzy set has been in the limelight of various applications in decision making
problems due to its usefulness in portraying human perception and subjectivity. Generally …

Real-world decision-making is based on human cognitive information, which is
characterized by fuzziness and partial reliability. In order to better describe such information …

Z-numbers are efficient tools to represent uncertain information through restriction and
reliability measurement. Z-numbers and their variants have been integrated with diverse …

Many practical applications, under the definitive evolutionary state of the nature, the
consequences of the decisions, mental states of a decision maker are required. Thus, the …

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 …