The aggregation of fuzzy information is a new area of “intuitionistic fuzzy set (IFS)” theory that has piqued the attention of scholars in the past few years. This study aims to construct …
C Cornelis, G Deschrijver, EE Kerre - Fuzzy sets and systems, 2006 - Elsevier
Among the various extensions to the common [0, 1]-valued truth degrees of “traditional” fuzzy set theory, closed intervals of [0, 1] stand out as a particularly appealing and promising …
Climate change has become one of the most significant threats that all countries face. The extent of the effects of climate change will increase if the pace is not altered. Transportation …
This research article is devoted to establish some general aggregation operators, based on Yager'st‐norm and t‐conorm, to cumulate the Fermatean fuzzy data in decision‐making …
T Senapati, G Chen, R Mesiar… - International Journal of …, 2022 - Wiley Online Library
In the creation of better multiple attribute decision‐making (MADM) patterns to address the ambiguity in the expanding sophisticated of expert systems, the hypothesis of interval …
M Akram, Z Niaz, F Feng - Granular Computing, 2023 - Springer
The 2-tuple linguistic model initiated by Herrera and Martinez has become one of the most useful computing with words approaches. It provides an effective way of representing the …
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 …
G Wei - Fundamenta Informaticae, 2018 - content.iospress.com
In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic, geometric aggregation operators and Hamacher operations with picture …
AP Darko, D Liang - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
To provide a larger space for decision makers, q-rung orthopair fuzzy sets (q-ROFS) can express their uncertain information. As a generalization of the algebraic operations, and the …