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 …
A comprehensive discussion on fuzzy hypersoft expert, superhypersoft, and indetermsoft graphs
T Fujita - Neutrosophic Sets and Systems, 2025 - books.google.com
Graph theory, a branch of mathematics, studies relationships among entities through
vertices and edges. To capture the inherent uncertainties in real-world networks, Uncertain …
vertices and edges. To capture the inherent uncertainties in real-world networks, Uncertain …
[HTML][HTML] Logistic autonomous vehicles assessment using decision support model under spherical fuzzy set integrated Choquet Integral approach
Autonomous vehicles (AVs) are the newest products in the intelligent transportation system
that can move around with minimal human intervention. These products continue their path …
that can move around with minimal human intervention. These products continue their path …
An intelligent traffic control system using neutrosophic sets, rough sets, graph theory, fuzzy sets and its extended approach: a literature review
Recently, the intelligent traffic control system and its uncertainty analysis are considered one
of the hot spots for utilizing the available techniques. It became more essential when the …
of the hot spots for utilizing the available techniques. It became more essential when the …
Adapting urban transport planning to the COVID-19 pandemic: An integrated fermatean fuzzy model
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the
first time comprehensively addressed and solved in this study. It primarily aims to help …
first time comprehensively addressed and solved in this study. It primarily aims to help …
A novel neutrosophic-based multi-objective grey wolf optimizer for ensuring the security and resilience of sustainable energy: a case study of Belgium
Today, the concept of energy security is of utmost importance. Also, sustainable, low-cost,
emissions-conscious development is a significant challenge for energy resources. We …
emissions-conscious development is a significant challenge for energy resources. We …
MCDM approaches for evaluating urban and public transportation systems: a short review of recent studies
Studies related to transportation planning and development have been in the center of
activities of many researchers in the past decades. Road congestions issues, economic …
activities of many researchers in the past decades. Road congestions issues, economic …
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 …
Modified TODIM method based on cumulative prospect theory with Type-2 neutrosophic number for green supplier selection
Z Wang, Q Cai, G Wei - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Today's consumers' awareness of environmental protection and social morality is forcing
companies to implement sustainable supply chains. Choosing a green supplier can not only …
companies to implement sustainable supply chains. Choosing a green supplier can not only …
Assessment actions for improving railway sector performance using intuitionistic fuzzy-rough Multi-Criteria Decision-Making model
The selection and prioritization of appropriate actions to improve the performance of the
railway sector pose a common challenge for policymakers and transport planners. This …
railway sector pose a common challenge for policymakers and transport planners. This …