Renata Pelissari

About Renata Pelissari

Renata Pelissari, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Universidade Estadual de Campinas, specializes in the field of Multi-criteria decision analysis, preference learning, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators

Critical analysis of ai indicators in terms of weighting and aggregation approaches

Validation of a Maturity Model for Applied R&D: Adding Value to Business

A multiple criteria framework to assess learning methodologies

SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation

Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis

Application of multi-criteria decision-making methods in sustainable manufacturing management: a systematic literature review and analysis of the prospects

Renata Pelissari Information

University

Position

___

Citations(all)

329

Citations(since 2020)

325

Cited By

90

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Renata Pelissari Skills & Research Interests

Multi-criteria decision analysis

preference learning

machine learning

Top articles of Renata Pelissari

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings

arXiv preprint arXiv:2402.10122

2024/2/15

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators

Annals of Operations Research

2024/3/9

Critical analysis of ai indicators in terms of weighting and aggregation approaches

2023/9/25

Validation of a Maturity Model for Applied R&D: Adding Value to Business

IEEE Transactions on Engineering Management

2023/6/9

Renata Pelissari
Renata Pelissari

H-Index: 4

Leonardo Tomazeli Duarte
Leonardo Tomazeli Duarte

H-Index: 12

A multiple criteria framework to assess learning methodologies

Thinking Skills and Creativity

2023/6/1

Renata Pelissari
Renata Pelissari

H-Index: 4

Sarah Ben Amor
Sarah Ben Amor

H-Index: 8

SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation

Expert Systems with Applications

2022/11/30

Renata Pelissari
Renata Pelissari

H-Index: 4

Leonardo Tomazeli Duarte
Leonardo Tomazeli Duarte

H-Index: 12

Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis

Applied Soft Computing

2022/5/1

Renata Pelissari
Renata Pelissari

H-Index: 4

Leonardo Tomazeli Duarte
Leonardo Tomazeli Duarte

H-Index: 12

Application of multi-criteria decision-making methods in sustainable manufacturing management: a systematic literature review and analysis of the prospects

2019/7/1

The Hierarchical and Stochastic VIKOR to Deal with Imprecise and Missing Information

Available at SSRN 4292911

2022

Renata Pelissari
Renata Pelissari

H-Index: 4

The use of multiple criteria decision aiding methods in recommender systems: a literature review

2022

A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results.

2022

Techniques to model uncertain input data of multi‐criteria decision‐making problems: a literature review

2021/3

Renata Pelissari
Renata Pelissari

H-Index: 4

Identificação dos parâmetros da integral de Choquet para problemas de classificação multicritério

2021

Renata Pelissari
Renata Pelissari

H-Index: 4

Leonardo Tomazeli Duarte
Leonardo Tomazeli Duarte

H-Index: 12

Identification of choquet capacity in multicriteria sorting problems through stochastic inverse analysis

arXiv preprint arXiv:2003.12530

2020/3/27

Renata Pelissari
Renata Pelissari

H-Index: 4

Leonardo Tomazeli Duarte
Leonardo Tomazeli Duarte

H-Index: 12

Multiple criteria hierarchy process for sorting problems under uncertainty applied to the evaluation of the operational maturity of research institutions

Annals of Operations Research

2017/4

See List of Professors in Renata Pelissari University(Universidade Estadual de Campinas)

Co-Authors

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