Analysis of the Brazilian Research Agencies using a Multicriteria Decision Aid known as TODIM

Author(s)

Magalhaes, Rachel F. ; Rangel, Luis A. D. ; Sbruzzi, Elton F. ; Nascimento Jr, Cairo L. ; Leles, Michel C. R. ; IEEE

• Document type: Journal article
• Source: 2019 13TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON); v. N/A, p. 6-pg., 2019-01-01.

Abstract

The objective of this work is to analyze the productivity of different Brazilian research promotion agencies by using the Method of Interactive Decision Making and Multicriteria (Acronym TODIM in Portuguese), which is based on the Prospect Theory. The proposed model classify of 22 Brazilian research agencies (two federal and twenty state agencies) under six different criteria. The result shows that some small state agencies are more efficient than bigger ones in terms of the funding/scholarship ratio. This suggests that the winner model could be further investigated to be promoted among the other agencies of this country. (AU)

• FAPESP's process: 16/04992-6 - Employing computational intelligence techniques and Big Data analytics in a multi-agent system experiment of finance
• Grantee: Cairo Lúcio Nascimento Júnior
• Support Opportunities: Research Grants - eScience and Data Science Program - Regular Program Grants
• FAPESP's process: 17/20248-8 - Employing computational intelligence techniques and Big Data analytics in a multi-agent system experiment of finance
• Grantee: Michel Carlo Rodrigues Leles
• Support Opportunities: Scholarships in Brazil - Post-Doctoral