activity
20122022
most citedA multiple criteria approach for ship risk classification: An alternative to the Paris MoU Ship Risk Profile

13 citations · 20 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

math.OC2021

New -constraint methods for multi-objective integer linear programming: a Pareto front representation approach

Mariana Mesquita-Cunha, José Rui Figueira, Ana Paula Barbosa-Póvoa

Dealing with multi-objective problems by using generation methods has some interesting advantages since it provides the decision-maker with the complete information about the set o…

math.OC2021

A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal

José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro +5

The Covid-19 pandemic has caused impressive damages and disruptions in social, economic, and health systems (among others), and posed unprecedented challenges to public health and…

econ.TH2021

a theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes

Eduardo Fernandez, Jose Rui Figueira, Jorge Navarro

This paper addresses the general problem of designing ordinal classification methods based on comparing actions with limiting boundaries of ordered classes (categories). The fundam…

stat.AP2021★ 13 cited

A multiple criteria approach for ship risk classification: An alternative to the Paris MoU Ship Risk Profile

Duarte Caldeira Dinis, José Rui Figueira, Ângelo Palos Teixeira

The Paris Memorandum of Understanding on Port State Control (Paris MoU) is responsible for controlling substandard shipping in European waters and, consequently, increasing the sta…

stat.ME2021★ 1 cited

Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals

Diogo Cunha Ferreira, Josè RUi Figueira, Salvatore Greco +1

Assessing the technical efficiency of a set of observations requires that the associated data composed of inputs and outputs are perfectly known. If this is not the case, then bias…