A review of multi-criteria decision-making methods applied to the sustainable bridge design
The construction of bridges has been necessary for societies since ancient times, when the
communication between and within towns, cities or communities was established. Until …
communication between and within towns, cities or communities was established. Until …
Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach
Due to the high necessity of medical face masks and face shields during the COVID-19
pandemic, healthcare centers dealing with infected patients have faced serious challenges …
pandemic, healthcare centers dealing with infected patients have faced serious challenges …
Group decision making with the analytic hierarchy process in benefit-risk assessment: a tutorial
JM Hummel, JFP Bridges, MJ IJzerman - The Patient-Patient-Centered …, 2014 - Springer
The analytic hierarchy process (AHP) has been increasingly applied as a technique for multi-
criteria decision analysis in healthcare. The AHP can aid decision makers in selecting the …
criteria decision analysis in healthcare. The AHP can aid decision makers in selecting the …
A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management
Digital transformation can help to make better use of existing transportation networks that
are congested. One solution to the road congestion problem is real-time traffic management …
are congested. One solution to the road congestion problem is real-time traffic management …
[图书][B] On the mathematical foundations of MACBETH
CA Bana e Costa, JM De Corte, JC Vansnick - 2016 - Springer
MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) is a
multicriteria decision analysis approach that requires only qualitative judgements about …
multicriteria decision analysis approach that requires only qualitative judgements about …
[HTML][HTML] Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach
With the emergence of battery-based electric vehicles, transportation systems gradually
leave using fossil fuel-based combustion engines. Due to their reasonable performance …
leave using fossil fuel-based combustion engines. Due to their reasonable performance …
A multi-criteria evaluation method for climate change mitigation policy instruments
P Konidari, D Mavrakis - Energy Policy, 2007 - Elsevier
This paper presents an integrated multi-criteria analysis method for the quantitative
evaluation of climate change mitigation policy instruments. The method consists of:(i) a set of …
evaluation of climate change mitigation policy instruments. The method consists of:(i) a set of …
Multi-criteria performance analysis for decision making in project management
This study is focused on decision support in the context of product and service development
projects. Decision support requires the capacity to characterize the current state of the …
projects. Decision support requires the capacity to characterize the current state of the …
Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey
T Ertay, C Kahraman, İ Kaya - Technological and economic …, 2013 - Taylor & Francis
Energy is a critical foundation for economic growth and social progress. It is estimated that
70% of the world energy consumption could be provided from renewable resources by the …
70% of the world energy consumption could be provided from renewable resources by the …
An integrated method using MACBETH and EDAS methods for evaluating steam boiler alternatives
N Kundakcı - Journal of Multi‐Criteria Decision Analysis, 2019 - Wiley Online Library
The evaluation of steam boiler alternatives is a Multi‐Criteria Decision Making (MCDM)
process and includes various alternatives and conflicting criteria. As selecting the most …
process and includes various alternatives and conflicting criteria. As selecting the most …