How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …

As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to
represent and address the uncertainty of information. Therefore, IFSs have been used in …

The Pythagorean fuzzy set (PFS) which is an extension of intuitionistic fuzzy set, is more
capable of expressing and handling the uncertainty under uncertain environments, so that it …

Multicriteria decision making (MCDM) has become one of the most frequently applied
decision making methodologies in various fields. However, uncertainty is inevitably involved …

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 …

The focus of this paper is on selecting suppliers in the Oil and Gas (O&G) industry by
developing a comprehensive approach for Multi-Criteria Decision Analysis (MCDA) based …

Pythagorean fuzzy set, initially extended by Yager from intuitionistic fuzzy set, is capable of
modeling information with more uncertainties in the process of multi-criteria decision making …

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

Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

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