Fifty years of multiple criteria decision analysis: From classical methods to robust ordinal regression
Abstract Multiple Criteria Decision Analysis (MCDA) is a subfield of Operational Research
that aims to support Decision-Makers (DMs) in the decision-making process through …
that aims to support Decision-Makers (DMs) in the decision-making process through …
[HTML][HTML] Sustainable cities and communities assessment using the DARIA-TOPSIS method
Effective evaluation of cities' and communities' sustainability is important for sustainable
development. From a methodological point of view, Multi-Criteria Decision Analysis (MCDA) …
development. From a methodological point of view, Multi-Criteria Decision Analysis (MCDA) …
Multi-Criteria Decision Analysis (MCDA) for sustainability assessment in food sector. A systematic literature review on methods, indicators and tools
In the last decades, several studies have highlighted the significant impacts of the food
sector. Therefore, enhancing sustainability within this sector has become of paramount …
sector. Therefore, enhancing sustainability within this sector has become of paramount …
Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges
A Sotoudeh-Anvari - Journal of Cleaner Production, 2023 - Elsevier
The major objective of this paper is to introduce a novel multi-criteria decision making
method (MCDM) called Root Assessment Method (RAM) which is easy to understand …
method (MCDM) called Root Assessment Method (RAM) which is easy to understand …
Proposal for an objective binary benchmarking framework that validates each other for comparing MCDM methods through data analytics
When it comes to choosing the best option among multiple alternatives with criteria of
different importance, it makes sense to use multi criteria decision making (MCDM) methods …
different importance, it makes sense to use multi criteria decision making (MCDM) methods …
Deep preference learning for multiple criteria decision analysis
K Martyn, M Kadziński - European Journal of Operational Research, 2023 - Elsevier
We propose preference learning algorithms for inferring the parameters of a threshold-
based sorting model from large sets of assignment examples. The introduced framework is …
based sorting model from large sets of assignment examples. The introduced framework is …
[HTML][HTML] Temporal PROMETHEE II—New multi-criteria approach to sustainable management of alternative fuels consumption
J Wątróbski - Journal of Cleaner Production, 2023 - Elsevier
Alternative fuels are the subject of growing interest among both researchers and
practitioners. In this aspect, to properly handle the problem of proper evaluating alternative …
practitioners. In this aspect, to properly handle the problem of proper evaluating alternative …
[HTML][HTML] Proper and improper uses of MCDA methods in energy systems analysis
M Cinelli, P Burgherr, M Kadziński… - Decision Support Systems, 2022 - Elsevier
Over the past few decades, the strategies to perform energy systems analysis have evolved
into multiple criteria-based frameworks. However, there still remains a lack of guidance on …
into multiple criteria-based frameworks. However, there still remains a lack of guidance on …
[HTML][HTML] A Strong Sustainability Paradigm based Analytical Hierarchy Process (SSP-AHP) method to evaluate sustainable healthcare systems
J Wątróbski, A Bączkiewicz, I Rudawska - Ecological Indicators, 2023 - Elsevier
The recent studies signify the growing concern of researchers towards monitoring and
measuring sustainability performance at various levels and in many fields, including …
measuring sustainability performance at various levels and in many fields, including …
A comprehensive MCDM assessment for economic data: success analysis of maximum normalization, CODAS, and fuzzy approaches
The approach of evaluating the final scores of multi-criteria decision-making (MCDM)
methods according to the strength of association with real-life rankings is interesting for …
methods according to the strength of association with real-life rankings is interesting for …