A linear programming approach for learning non-monotonic additive value functions in multiple criteria decision aiding

M Ghaderi, F Ruiz, N Agell - European Journal of Operational Research, 2017 - Elsevier
A new framework for preference disaggregation in multiple criteria decision aiding is
introduced. The proposed approach aims to infer non-monotonic additive preference models …

Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data

QD Cao, SB Miles, Y Choe - Reliability Engineering & System Safety, 2022 - Elsevier
Abstract The US National Institute of Standards and Technology (NIST)'s Community
Resilience Planning Guide uses recovery times of infrastructure functions as key metrics for …

[HTML][HTML] Identifying non-additive multi-attribute value functions based on uncertain indifference statements

F Haag, J Lienert, N Schuwirth, P Reichert - Omega, 2019 - Elsevier
Multi-criteria decision analysis (MCDA) requires an accurate representation of the
preferences of decision-makers, for instance in the form of a multi-attribute value function …

On a high-dimensional model representation method based on copulas

MG Tsionas, A Andrikopoulos - European Journal of Operational Research, 2020 - Elsevier
This article provides an alternative to High-Dimensional Model Representation using a
Copula approximation of an unknown functional form. We apply our methodology in the …

Choice-based preference disaggregation concerning vehicle technologies

LC Dias, GD Oliveira, P Sarabando - Central European Journal of …, 2021 - Springer
The preference disaggregation paradigm in multi-criteria decision analysis allows inferring a
multicriteria preference model for decision makers from their holistic judgments. In the well …

Preference disaggregation: towards an integrated framework

M Ghaderi - Available at SSRN 2973415, 2017 - papers.ssrn.com
Preference disaggregation aims at capturing preference models by decomposing indirect
preference information that are in form of holistic choices or judgments. From a multiple …

Easy and optimal queries to reduce set uncertainty

NB Abdallah, S Destercke, M Sallak - European Journal of Operational …, 2017 - Elsevier
In this paper, we address the problem of optimally querying a single expert to reduce set
(interval) uncertainty. We propose optimal querying strategies for two particular query …

[图书][B] Data-Driven Assessment of Disaster Damage and Recovery Time

QD Cao - 2020 - search.proquest.com
Although natural hazards may sometimes be predictable, their occurrence is not
preventable, especially in low-frequency-yet-high-impact events such as earthquakes and …

Parametrization of Functions in Multiattribute Utility Model According to Decision Maker'Preferences

SV Mikoni, DP Burakov - International Conference on Intelligent …, 2019 - Springer
In the article, the method of staged clarification of a choice model depending on decision
maker'(DM) preferences is proposed. The method consists of several stages. At the first …

Supporting government's actions to reach energy efficiency: the motor replacement problem

PP MACEDO - 2020 - bdtd.ibict.br
Considering current policies and trends, world energy consumption will increase by 8% by
2040. In Brazil, the industrial sector consumes approximately 40% of all national electrical …