Uncertainty is often occurred in real‐life decision‐making problems due to the lack of
complete information, imprecise data, and the vagueness of decision making experts in …

Intercity railway is an important system for the development of urban agglomeration, and the
site selection of the Line Management Department of Intercity Railway (LMDIR) is a …

T-spherical fuzzy sets (T-SPFSs) have gained popularity because of their ability to account
for uncertainty more effectively and spanning a larger domain. The sum of the t-th power of …

The power average operator can relieve the some influences of unreasonable data given by
biased decision makers, and Heronian mean operator can consider the interrelationship of …

Fermatean fuzzy sets (FFSs), proposed by Senapati and Yager (0000), can handle uncertain
information more easily in the process of decision making. They defined basic operations …

Pythagorean fuzzy sets accommodate more uncertainties than the intuitionistic fuzzy sets
and hence it is one of the most important concepts to describe the fuzzy information in the …

Clean energy potential can be used on a large scale in order to achieve cost
competitiveness and market effectiveness. This paper offers sufficient information to choose …

The focus of this paper is on multi-attribute group decision making (MAGDM) problems in
which the attribute values, attribute weights, and expert weights are all in the form of 2-tuple …

Since Pythagorean fuzzy sets and interval-valued Pythagorean fuzzy sets are better tools to
deal with fuzziness and vagueness. Therefore, in this paper, we present the notion of …

In this study, a novel Pythagorean fuzzy aggregation operator is presented by combining the
concepts of Aczel–Alsina (AA) T‐norm and T‐conorm operations for multiple attribute group …