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J. Figueira

14 papers hereh-index 4813.9k citations231 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author9
  • last author3

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • math.OC5
  • cs.AI3
  • cs.DS2
  • cs.CE1
  • cs.IT1
  • econ.TH1
same name
  • J. Figueira — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122022
most citedA multiple criteria nominal classification method in a web-based platform: Demonstration in a case of recruitment for the Portuguese Army

2 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2022

Exact and approximate determination of the Pareto set using minimal correction subsets

Andreia P. Guerreiro, João Cortes, Daniel Vanderpooten +4

Recently, it has been shown that the enumeration of Minimal Correction Subsets (MCS) of Boolean formulas allows solving Multi-Objective Boolean Optimization (MOBO) formulations. Ho…

cs.AI2019

Using a Segmenting Description approach in Multiple Criteria Decision Aiding

Milosz Kadzinski, Jan Badura, Jose Rui Figueira

We propose a new method for analyzing a set of parameters in a multiple criteria ranking method. Unlike the existing techniques, we do not use any optimization technique, instead i…

cs.AI2018

A robust hierarchical nominal classification method based on similarity and dissimilarity using loss function and an improved version of the deck of cards method

Ana Sara Costa, Salvatore Corrente, Salvatore Greco +2

Cat-SD is a multiple criteria decision aiding method for dealing with nominal classification problems. Actions are assessed according to multiple criteria and assigned to one or mo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.