Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …
methods for solving complex problems is one of the challenging issues faced by decision …
Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters
Abstract Multi-objective Optimization Evolutionary Algorithms (MOEAs) face numerous
challenges when they are used to solve Many-objective Optimization Problems (MaOPs) …
challenges when they are used to solve Many-objective Optimization Problems (MaOPs) …
A novel hybrid ICA-FA algorithm for multiperiod uncertain portfolio optimization model based on multiple criteria
W Chen, D Li, YJ Liu - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
This paper deals with a multiperiod portfolio selection problem in an uncertain investment
environment, in which the returns of securities are assumed to be uncertain variables and …
environment, in which the returns of securities are assumed to be uncertain variables and …
Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking
This paper introduces an interactive approach to support multi-criteria decision analysis of
project portfolios. In high-scale strategic decision domains, scientific studies suggest that the …
project portfolios. In high-scale strategic decision domains, scientific studies suggest that the …
GPT-based models meet simulation: how to efficiently use large-scale pre-trained language models across simulation tasks
PJ Giabbanelli - 2023 Winter Simulation Conference (WSC), 2023 - ieeexplore.ieee.org
The disruptive technology provided by large-scale pre-trained language models (LLMs)
such as ChatGPT or GPT-4 has received significant attention in several application domains …
such as ChatGPT or GPT-4 has received significant attention in several application domains …
Logistics and supply chain management reorganisation via talent portfolio management to enhance human capital and resilience
The reorganisation of logistics and supply chain management teams is critical for digital
transformation. Decision quality for staff assignment will affect the organisation efficiency …
transformation. Decision quality for staff assignment will affect the organisation efficiency …
A clustering‐based review on project portfolio optimization methods
Project portfolio management and optimization constitutes a critical activity for organizations
in different industrial sectors and business. The scientific literature in this subject is …
in different industrial sectors and business. The scientific literature in this subject is …
An interval-based approach for evolutionary multi-objective optimization of project portfolios
Project portfolio selection is addressed here as a multi-objective optimization problem. This
work introduces an interval-based method that takes into consideration imperfect knowledge …
work introduces an interval-based method that takes into consideration imperfect knowledge …
Preference incorporation into many-objective optimization: an Ant colony algorithm based on interval outranking
In this paper, we enriched Ant Colony Optimization (ACO) with interval outranking to develop
a novel multi-objective ACO optimizer to approach problems with many objective functions …
a novel multi-objective ACO optimizer to approach problems with many objective functions …
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
A large number of real-world problems require optimising several objective functions at the
same time, which are generally in conflict. Many of these problems have been addressed …
same time, which are generally in conflict. Many of these problems have been addressed …