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 …
Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights
R Krishankumar, F Ecer - Applied Soft Computing, 2023 - Elsevier
Abstract Internet-of-things (IoT) is a fast-growing technology and sustainable transportation
is a crucial application area of IoTs. Selecting an appropriate IoT service provider (IoTSP) is …
is a crucial application area of IoTs. Selecting an appropriate IoT service provider (IoTSP) is …
Novel Aczel–Alsina operators for Pythagorean fuzzy sets with application in multi-attribute decision making
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 …
successfully. Choosing the best option regarding data is not generally symmetric on the …
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 …
Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
Multiple attribute decision-making based on 3, 4-quasirung fuzzy sets
This paper extends the notion of Pythagorean fuzzy sets and Fermatean fuzzy sets to 3, 4-
quasirung fuzzy sets (3, 4-QFSs). In 3, 4-QFSs, the sum of the cube of the membership …
quasirung fuzzy sets (3, 4-QFSs). In 3, 4-QFSs, the sum of the cube of the membership …
Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method
Fastest growing population, rapid urbanization, and growth in the disciplines of science and
technology cause continually development in the amount and diversity of solid waste. In …
technology cause continually development in the amount and diversity of solid waste. In …