Multiple criteria hierarchy process for sorting problems under uncertainty applied to the evaluation of the operational maturity of research institutions. - Renata Pelissari; Alvaro José Abackerli; Sarah Ben Amor; Maria Célia Oliveira; Kleber Manoel Infante (CoRR, 2019)

A new FlowSort-based method to deal with information imperfections in sorting decision-making problems. - Renata Pelissari; Maria Célia Oliveira; Sarah Ben Amor; Alvaro José Abackerli (Eur. J. Oper. Res., 2019)

SMAA methods and their applications: a literature review and future research directions. - Renata Pelissari; Maria Célia Oliveira; Sarah Ben Amor; Ahmet Kandakoglu; André Luis Helleno (Ann. Oper. Res., 2020)

Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. - Renata Pelissari; Leonardo Tomazeli Duarte (CoRR, 2020)

Techniques to model uncertain input data of multi-criteria decision-making problems: a literature review. - Renata Pelissari; Maria Célia Oliveira; Alvaro José Abackerli; Sarah Ben Amor; Maria Rita Pontes Assumpção (Int. Trans. Oper. Res., 2021)

The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review. - Renata Pelissari; Paulo S. C. Alencar; Sarah Ben Amor; Leonardo Tomazeli Duarte (BRACIS (1), 2022)

A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results. - Renata Pelissari; Paulo S. C. Alencar; Sarah Ben Amor; Leonardo Tomazeli Duarte (MORS@RecSys, 2022)

Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis. - Renata Pelissari; Alvaro José Abackerli; Leonardo Tomazeli Duarte (Appl. Soft Comput., 2022)

SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation. - Renata Pelissari; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2022)

Application of Multi-Criteria Decision-Making Methods in Sustainable Manufacturing Management: A Systematic Literature Review and Analysis of the Prospects. - Renata Pelissari; Sharfuddin Ahmed Khan; Sarah Ben Amor (Int. J. Inf. Technol. Decis. Mak., 2022)

Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. - Renata Pelissari; Betania S. C. Campello; Guilherme Dean Pelegrina; Ricardo Suyama; Leonardo Tomazeli Duarte (BRACIS (2), 2023)

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. - Betania Silva Carneiro Campello; Guilherme Dean Pelegrina; Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2024)

Validation of a Maturity Model for Applied R&D: Adding Value to Business. - Alvaro José Abackerli; Renata Pelissari; Leonardo Tomazeli Duarte (IEEE Trans. Engineering Management, 2024)

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators. - Renata Pelissari; Sarah Ben Amor; Álvaro de Oliveira D'Antona; Eduardo José Marandola Júnior; Leonardo Tomazeli Duarte (Ann. Oper. Res., 2024)

The hierarchical and stochastic VIKOR to deal with imprecise and missing information. - Rafaela Heloisa Carvalho Machado; Samuel Vieira Conceição; Renata Pelissari; Arthur Almeida Santos; Sarah Ben Amor (Appl. Soft Comput., 2025)

Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy. - Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte; Henrique N. Sá Earp (CoRR, 2025)