The partitioned Bonferroni mean (PBM) operator and the partitioned geometric Bonferroni
mean (PGBM) operator assume that all attributes are partitioned into several parts, where …

The power Bonferroni mean (PBM) operator can take the advantages of power operator and
Bonferroni mean operator, which can overcome the influence of the unreasonable attribute …

In this paper, we propose a new multiattribute group decision making (MAGDM) method
based on the proposed weighted partitioned Maclaurin symmetric mean (IFWPMSM) …

This paper focuses on the multiattribute group decision making problems with linguistic
intuitionistic fuzzy information. Firstly the concept of linguistic intuitionistic fuzzy numbers …

The Bonferroni mean (BM) operator has the advantage of considering interrelationships
between parameters, but it only can deal with crisp values. In recent years, many extended …

In this paper, we define various induced intuitionistic fuzzy aggregation operators, including
induced intuitionistic fuzzy ordered weighted averaging (OWA) operator, induced …

With respect to multiple attribute group decision making (MAGDM) problems in which both
the attribute weights and the expert weights take the form of real numbers, attribute values …

On the basis of Frank operators, the operational rules of intuitionistic fuzzy numbers are
redefined, then the intuitionistic fuzzy Frank power average operator (IFFPA), intuitionistic …

A bstract In this paper, we propose a new method for multiple attribute group decision
making (MAGDM) based on the proposed interval-valued intuitionistic fuzzy aggregation …

Heronian mean (HM) operator has the advantages of considering the interrelationships
between parameters, and linguistic intuitionistic fuzzy number (LIFN), in which the …