Interval-valued Fermatean fuzzy Dombi aggregation operators and SWARA based PROMETHEE II method to bio-medical waste management
Choosing the most capable organization to manage biomedical waste (BMW) is a typical
multi-attribute group decision-making (MAGDM) problem. MAGDM is frequently used to deal …
multi-attribute group decision-making (MAGDM) problem. MAGDM is frequently used to deal …
Interval-valued spherical fuzzy MABAC method based on Dombi aggregation operators with unknown attribute weights to select plastic waste management process
The widespread use of plastic products worldwide generates an enormous amount of waste.
Plastic is a substance that is not biodegradable and is permanent in the environment. The …
Plastic is a substance that is not biodegradable and is permanent in the environment. The …
Multiple attribute group decision making based on quasirung orthopair fuzzy sets: Application to electric vehicle charging station site selection problem
This paper aims to greatly improve decision makers' capability of capturing their judgment in
a broader space. In order to achieve this, we introduce the notion of ap, q-quasirung …
a broader space. In order to achieve this, we introduce the notion of ap, q-quasirung …
Low-carbon cities comprehensive evaluation method based on Fermatean fuzzy hybrid distance measure and TOPSIS
S Zeng, J Gu, X Peng - Artificial Intelligence Review, 2023 - Springer
Low-carbon city (LCC) quality evaluation is getting increasingly attention in recent years.
However, uncertainty decision-making processes and complicated indicators in LCC …
However, uncertainty decision-making processes and complicated indicators in LCC …
Utilizing aggregation operators based on q-rung orthopair neutrosophic soft sets and their applications in multi-attributes decision making problems
Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties,
including independent, partially independent, and entirely dependent scenarios, which q …
including independent, partially independent, and entirely dependent scenarios, which q …
Fermatean fuzzy covering-based rough set and their applications in multi-attribute decision-making
Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …
extend the range of data that RST and its related theories can handle, scholars have …
Theory and applications of Fermatean neutrosophic graphs
S Broumi, R Sundareswaran… - … sets and systems, 2022 - books.google.com
Yager et. al. defined a q-rung orthopair fuzzy sets as a new general class of Pythagorean
fuzzy set in which the sum of the qth power of the support for and support against is bonded …
fuzzy set in which the sum of the qth power of the support for and support against is bonded …
Quasirung orthopair fuzzy linguistic sets and their application to multi criteria decision making
Linguistic term fuzzy sets provide an intuitive way to express preferences, enhancing
understanding and communication among decision-makers. In this article, we introduce the …
understanding and communication among decision-makers. In this article, we introduce the …
A generalized TODIM evaluation approach based on the novel score function and trust network under interval-valued hesitant fuzzy environment
K Chen, J Tan, C Zhu, G Liu - Expert Systems with Applications, 2024 - Elsevier
In multi-attribute group decision-making (MAGDM), the social relationships among group
members, professional backgrounds and psychological behaviors of decision makers are …
members, professional backgrounds and psychological behaviors of decision makers are …
q-Rung Orthopair Fuzzy Archimedean Aggregation Operators: Application in the Site Selection for Software Operating Units
The q-rung orthopair fuzzy (q-ROF) set is an efficient tool for dealing with uncertain and
inaccurate data in real-world multi-attribute decision-making (MADM). In MADM …
inaccurate data in real-world multi-attribute decision-making (MADM). In MADM …