The evaluation of smart cities involves multiple stakeholder groups and has multiple
objectives. Therefore, a multi-criteria approach is required to facilitate inclusive decisions. In …

Multi-attribute decision-making (MADM) is usually used to aggregate fuzzy data
successfully. Choosing the best option regarding data is not generally symmetric on the …

The purpose of this study is to offer requisite models for unravelling the complex issues that
arise in a supplier selection‐order allocation problem by soothing the risk and disturbances …

In decision-making problems, q-rung orthopair fuzzy sets are considered as a more effective
tool than intuitionistic fuzzy sets and Pythagorean fuzzy sets. This article develops some …

This paper aims to propose novel Chebyshev distance measures for Pythagorean
membership grades and establish their based elimination and choice translating reality …

In this paper, we develop some new operational laws and their corresponding aggregation
operators for picture fuzzy sets (PFSs). PFS is a powerful tool to deal with vagueness, which …

The q-rung orthopair fuzzy sets (q-ROFSs), originated by Yager, are good tools to describe
fuzziness in human cognitive processes. The basic elements of q-ROFSs are q-rung …

The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) has been used
to solve various multi-criteria group decision-making problems where triangular fuzzy …

Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe fuzziness, uncertainty and vagueness. The prominent feature of q-ROFS is that the …

In this article, a novel CoCoSo (Combined compromise solution) method based on Frank
operational laws and softmax function is investigated to handle multiple attribute group …