Identifying key issues to handle the inflation problem in the healthcare industry caused by energy prices: An evaluation with decision-making models
This study investigated how energy inflation in the health sector can be controlled. In this
context, research has been carried out using both the AHP and the DEMATEL methods. A …
context, research has been carried out using both the AHP and the DEMATEL methods. A …
A narrative review of multi-objective optimization on the basis of ratio analysis (MOORA) method in decision making
The task of multi-attribute decision making (MADM) involves selecting the best
alternative/course of action from a set of feasible options in the presence of conflicting …
alternative/course of action from a set of feasible options in the presence of conflicting …
Assessing green technology indicators for cleaner production and sustainable investments in a develo** country context
Abstract The United Nations proposed the Sustainable Development Goals (SDGs) to foster
sustainable development, including tackling environmental challenges and adopting …
sustainable development, including tackling environmental challenges and adopting …
[HTML][HTML] Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
Bioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore,
it is important to increase the efficiency of bioenergy investments to create an …
it is important to increase the efficiency of bioenergy investments to create an …
Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity
This study contributes to develo** the existing knowledge regarding data-driven
sustainable supply chain management (SSCM) indicators under industrial disruption and …
sustainable supply chain management (SSCM) indicators under industrial disruption and …
Coalition-oriented strategic selection of renewable energy system alternatives using q-ROF DEMATEL with golden cut
Hybrid energy investment projects help to increase the efficiency in renewable energy
production. This situation can be a solution to the high installation cost problem of the clean …
production. This situation can be a solution to the high installation cost problem of the clean …
An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects
This study evaluates quality function deployment-based innovation pathways for renewable
energy projects. For this purpose, a 2-stage novel model is suggested. Firstly, the weights of …
energy projects. For this purpose, a 2-stage novel model is suggested. Firstly, the weights of …
Alleviating the impact of the barriers to circular economy adoption through blockchain: An investigation using an integrated MCDM-based QFD with hesitant fuzzy …
Despite its clear potential to contribute to sustainability, there are many challenges to
adopting circular economy (CE). These barriers impede the implementation of CE; however …
adopting circular economy (CE). These barriers impede the implementation of CE; however …
[HTML][HTML] Analysis of renewable-friendly smart grid technologies for the distributed energy investment projects using a hybrid picture fuzzy rough decision-making …
Smart grid systems help increase RWJ projects (RWJ) so that environmentally friendly
energy production can be generated. However, efficient technologies should be …
energy production can be generated. However, efficient technologies should be …
Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers
This study evaluates financial innovation priorities for renewable energy investors by
generating a novel hybrid fuzzy decision-making model. First, SERVQUAL-based customer …
generating a novel hybrid fuzzy decision-making model. First, SERVQUAL-based customer …