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 …
Multiple criteria sorting models and methods—Part I: survey of the literature
Multiple criteria sorting methods assign objects into ordered categories while objects are
characterized by a vector of n attributes values. Categories are ordered, and the assignment …
characterized by a vector of n attributes values. Categories are ordered, and the assignment …
[HTML][HTML] Multicriteria decision support for the evaluation of electricity supply resilience: Exploration of interacting criteria
E Siskos, P Burgherr - European Journal of Operational Research, 2022 - Elsevier
The resilience of an energy system and especially the national electricity supply is a
complex and multidimensional concept, which is receiving growing attention at a European …
complex and multidimensional concept, which is receiving growing attention at a European …
A novel interval-valued three-way decision theory under multiple criteria environment
Three-way decision (TWD) theory provides us with a new perspective and methodology to
improve the flexibility of traditional multiple criteria decision-making (MCDM) methods …
improve the flexibility of traditional multiple criteria decision-making (MCDM) methods …
A ranking approach for robust portfolio decision analysis based on multilinear portfolio utility functions and incomplete preference information
X Zhang, Y Yan, L Wang, Y Wang - Omega, 2024 - Elsevier
Uncertainties are often present in typical portfolio decision analysis (PDA), and it is prudent
to conduct a robust PDA to identify project portfolios that perform reasonably well across the …
to conduct a robust PDA to identify project portfolios that perform reasonably well across the …
Knapsack problems with dependencies through non-additive measures and Choquet integral
G Beliakov - European Journal of Operational Research, 2022 - Elsevier
In portfolio selection problems the items often depend on each other, and their synergies
and redundancies need to be taken into account. We consider the knapsack problem in …
and redundancies need to be taken into account. We consider the knapsack problem in …
Prioritizing and aggregating interacting requirements for product-service system development
Requirements evaluation is critically important for the successful development of a product-
service system (PSS). The requirements of a PSS often interact with each other, hence …
service system (PSS). The requirements of a PSS often interact with each other, hence …
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
Besides accuracy, recent studies on machine learning models have been addressing the
question on how the obtained results can be interpreted. Indeed, while complex machine …
question on how the obtained results can be interpreted. Indeed, while complex machine …
[PDF][PDF] Learning Preference Models with Sparse Interactions of Criteria.
M Herin, P Perny, N Sokolovska - IJCAI, 2023 - ijcai.org
Multicriteria decision making requires defining the result of conflicting and possibly
interacting criteria. Allowing criteria interactions in a decision model increases the …
interacting criteria. Allowing criteria interactions in a decision model increases the …
Discrete Choquet Integral Optimisation With Positive and Negative Interactions
G Beliakov, JZ Wu - IEEE Transactions on Fuzzy Systems, 2023 - ieeexplore.ieee.org
Our study focuses on using fuzzy measures and integrals in optimization with interacting
decision variables. We optimize piecewise linear objectives through the use of discrete …
decision variables. We optimize piecewise linear objectives through the use of discrete …