4 papers
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings
Betania Silva C Campello, Guilherme Dean Pelegrina, Renata Pelissari +2
Countries worldwide have been implementing different actions national strategies for Artificial Intelligence (AI) to shape policy priorities and guide their development concerning…
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation
Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Multicriteria decision analysis (MCDA) is a widely used tool to support decisions in which a set of alternatives should be ranked or classified based on multiple criteria. Recent s…
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach
Betania S. C. Campello, Leonardo T. Duarte, João M. T. Romano
A number of Multiple Criteria Decision Analysis (MCDA) methods have been developed to rank alternatives based on several decision criteria. Usually, MCDA methods deal with the crit…
A bi-integrated model for coupling lot-sizing and cutting-stock problems
Amanda O. C. Ayres, Betania S. C. Campello, Washington A. Oliveira +1
In this paper, a framework that addresses the core of the papermaking process is proposed, starting from the production of jumbos and ending with the paper sheets used in daily lif…