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 …
[HTML][HTML] Synthesis approaches to ceramic membranes, their composites, and application in the removal of tetracycline from water
TO Ajiboye, L Sawunyama, MP Ravele… - Environmental …, 2023 - Elsevier
A large volume of tetracyclines has been detected in the aquatic environment because of
their widespread usage, such as antibiotics. These tetracyclines are absorbed by plants and …
their widespread usage, such as antibiotics. These tetracyclines are absorbed by plants and …
Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model
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 …
extent of the effects of climate change will increase if the pace is not altered. Transportation …
Regret-based three-way decision making with possibility dominance and SPA theory in incomplete information system
In the field of decision making, three-way decision making has been proven more fruitful for
providing scopes to make delayed decision along with acceptance and rejection …
providing scopes to make delayed decision along with acceptance and rejection …
An integrated decision support framework using single-valued neutrosophic-MASWIP-COPRAS for sustainability assessment of bioenergy production technologies
As a clean and renewable energy, bioenergy is one of the most prospective alternatives to
fossil fuels. Therefore, it has been received much attention and occupied a considerable …
fossil fuels. Therefore, it has been received much attention and occupied a considerable …
[HTML][HTML] Fermatean fuzzy Archimedean Heronian Mean-Based Model for estimating sustainable urban transport solutions
Public transportation frameworks assume a critical role in the metropolitan region, especially
in huge urban communities, where they offer a feasible answer for easing gridlock …
in huge urban communities, where they offer a feasible answer for easing gridlock …
Evaluating and selecting sustainable logistics service providers for medical waste disposal treatment in the healthcare industry
Health institutes are structurally growing depending on the population increase and
escalating demands for health services. As a negative result, the health industry produces …
escalating demands for health services. As a negative result, the health industry produces …
[HTML][HTML] Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology
Interval-valued Fermatean fuzzy sets play a significant role in modelling decision-making
problems with incomplete information more accurately than intuitionistic fuzzy sets. Various …
problems with incomplete information more accurately than intuitionistic fuzzy sets. Various …
[HTML][HTML] Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method
Digital transformation has been regarded as a primary styrategy to promote transitions in
diverse fields, but industry pioneers believe that the existing barriers may hamper the speed …
diverse fields, but industry pioneers believe that the existing barriers may hamper the speed …
Modeling challenges for Industry 4.0 implementation in new energy systems towards carbon neutrality: Implications for impact assessment policy and practice in …
MA Moktadir, J Ren - Resources, Conservation and Recycling, 2023 - Elsevier
New energy systems (NESs) in a circular economy (CE) perspective may contribute
significantly to achieving emerging economies' carbon peaking and neutrality goals …
significantly to achieving emerging economies' carbon peaking and neutrality goals …