Advanced approaches in multicriteria decision making under uncertainty: methodological and applied perspectives

• Grant number: 24/03045-0
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2024
• End date: August 31, 2026
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Betania Silva Carneiro Campello
• Grantee: Betania Silva Carneiro Campello
• Host Institution: Faculdade de Ciências Aplicadas (FCA). Universidade Estadual de Campinas (UNICAMP). Limeira , SP, Brazil

Abstract

Decisions in various fields often require analyzing a series of criteria. These decisions become complex when their consequences have significant impacts on society, businesses, and even on a personal level. Multi-Criteria Decision Analysis (MCDA) has been widely used as a tool to assist in these decision-making processes. This project focuses on a challenge in the area of MCDA: dealing with uncertainties in the data involved in the problem. The central objective consists of developing and applying methods to address this issue amidst uncertainty. Initially, a methodological approach will be addressed, exploring MCDA techniques integrated with machine learning and data science models. The purpose is to develop metrics and methods that can quantify and minimize the uncertainties present in decision outcomes. In a second, more applied phase, we will conduct studies to develop or select MCDA methods that are capable of effectively handling uncertainties in decision-making in both public and private sector management. The research proposal seeks to advance the field of multi-criteria decision problems under uncertainties by developing and applying techniques at the intersection of MCDA and management, leveraging the potential of machine learning and data science techniques. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CAMPELLO, BETANIA SILVA CARNEIRO; BENAMOR, SARAH; DUARTE, LEONARDO TOMAZELI; ROMANO, JOAO MARCOS TRAVASSOS. Improving preference disaggregation in multicriteria decision making: Incorporating time series analysis and a multi-objective approach. INFORMATION SCIENCES, v. 700, p. 20-pg., 2025-01-08. (20/09838-0, 24/03045-0)