activity
20122023
most citedOperational Research: Methods and Applications

120 citations · 133 across the 31 of their papers we have counts for

collaborators

32 papers

math.LO2023

Pawlak, Belnap and the magical number seven

Salvatore Greco, Roman Slowinski

We are considering the algebraic structure of the Pawlak-Brouwer-Zadeh lattice to distinguish vagueness due to imprecision from ambiguity due to coarseness. We show that a general…

math.OC2023★ 1 cited

A new Ordinal Regression procedure for Multiple Criteria Decision Aiding: the case of the space time model for a sustainable Ecovillage

Maria Barbati, Salvatore Greco, Isabella M. Lami

In this paper, we present a methodology based on a multiobjective optimization suggesting which facility to implement, in which location, and at which time. In this context, we def…

math.OC2023★ 1 cited

Inducing a probability distribution in Stochastic Multicriteria Acceptability Analysis

Sally Giuseppe Arcidiacono, Salvatore Corrente, Salvatore Greco

In multiple criteria decision aiding, very often the alternatives are compared by means of a value function compatible with the preferences expressed by the Decision Maker. The pro…

math.OC2023★ 120 cited

Operational Research: Methods and Applications

Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79

Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…

cs.AI2022★ 2 cited

Dominance-based Rough Set Approach, basic ideas and main trends

Jerzy Błaszczyński, Salvatore Greco, Benedetto Matarazzo +1

Dominance-based Rough Approach (DRSA) has been proposed as a machine learning and knowledge discovery methodology to handle Multiple Criteria Decision Aiding (MCDA). Due to its cap…

math.OC2022★ 2 cited

Multiobjective Combinatorial Optimization with Interactive Evolutionary Algorithms: the case of facility location problems

Maria Barbati, Salvatore Corrente, Salvatore Greco

We consider multiobjective combinatorial optimization problems handled by means of preference driven efficient heuristics. They look for the most preferred part of the Pareto front…