An integrated SWARA-CODAS decision-making algorithm with spherical fuzzy information for clean energy barriers evaluation
Clean energy has various environmental and economic benefits, including reducing air
pollution. Also, due to its characteristics, it can be more compatible with the environment …
pollution. Also, due to its characteristics, it can be more compatible with the environment …
[HTML][HTML] Sustainable supplier selection in the textile dyeing industry: An integrated multi-criteria decision analytics approach
It is important to implement sustainability throughout the supply chain and manufacturing
process in order to achieve sustainability in a manufacturing system. As part of that effort …
process in order to achieve sustainability in a manufacturing system. As part of that effort …
[HTML][HTML] Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment
S Jafarzadeh Ghoushchi… - Neural computing and …, 2023 - Springer
There are a lot of elements that make road safety assessment situations unpredictable and
hard to understand. This could put people's lives in danger, hurt the mental health of a …
hard to understand. This could put people's lives in danger, hurt the mental health of a …
Bipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternatives
Energy costs are the key factors regarding the selection of appropriate renewable energy
(RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance …
(RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance …
[HTML][HTML] An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in …
Supplier selection is a difficult task imposing significant challenges for supply chain
managers in today's competitive environment. Sustainability adds another layer of …
managers in today's competitive environment. Sustainability adds another layer of …
HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks
The economic pressures and increasing competition in markets have led to the CEOs of
companies being forced to make the right strategic decisions in the development of products …
companies being forced to make the right strategic decisions in the development of products …
A novel intuitionistic fuzzy distance measure-SWARA-COPRAS method for multi-criteria food waste treatment technology selection
D Tripathi, SK Nigam, AR Mishra, AR Shah - Operational Research in …, 2023 - oresta.org
As an extension of fuzzy set, intuitionistic fuzzy set (IFS) considers the degrees of non-
membership and hesitancy along with the degree of membership, therefore, the knowledge …
membership and hesitancy along with the degree of membership, therefore, the knowledge …
Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts
In sustainable waste supply chains, selecting recycling partners is an important factor in the
decision-making process. Waste supply chains have undergone many fundamental …
decision-making process. Waste supply chains have undergone many fundamental …
Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers
SJH Dehshiri, M Amiri - Expert Systems with Applications, 2024 - Elsevier
Nowadays, because of the increase in global competition and the need to pay attention to
sustainable issues, achieve a competitive advantage, reduce costs, and improve Supply …
sustainable issues, achieve a competitive advantage, reduce costs, and improve Supply …
Evaluation of wind turbine failure modes using the developed SWARA-CoCoSo methods based on the spherical fuzzy environment
Accurately recognizing potential failures in the early stages of providing products or services
can prevent the loss of investment and time and reduce the risk of safety hazards. Failure …
can prevent the loss of investment and time and reduce the risk of safety hazards. Failure …