In this paper, we propose an optimization-based group decision making (GDM) method
using interval-valued intuitionistic fuzzy preference relations (IVIFPRs). First, the concept of …

Intuitionistic fuzzy preference relations (IFPRs) have been exposed to be an appropriate and
effective preference representation framework in an analytic hierarchy process (AHP) with …

The emergence of large amounts of hesitant fuzzy data brings more opportunities and
challenges for optimal decision-making results. The granularity of the hesitant fuzzy set has …

Triangular fuzzy multiplicative preference relation (TFMPR) is a widely used preference
representation framework in the fuzzy analytic hierarchy process (FAHP). In this article, we …

Trapezoidal fuzzy numbers offer a suitable and flexible way to express vague judgments of
decision makers. This paper studies decision making with additive trapezoidal fuzzy …

This paper focuses on obtaining an interval extension of Saaty's consistency and eliciting
normalized interval weights in analytic form from interval multiplicative reciprocal preference …

The use of consistency methods to supplement or generate missing information so as to
obtain a rational and logical ranking list has been a key point in studies of the incomplete …

The eigenproblem plays a crucial role on checking acceptability of decision-makers'
pairwise comparison results and deriving priorities from preference relation matrices in the …

The strategic management of reverse logistics (RL) is essential for enterprises to enhance
their operational efficiency, customer satisfaction, and sustainability performance in today's …

Abstract Density Peak Clustering (DPC) was proposed in the journal Science in 2014 and
has been widely applied in many fields due to its simplicity and effectiveness. However …