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Ingeniare. Revista chilena de ingeniería

On-line version ISSN 0718-3305

Abstract

ZAMBRANO MATAMALA, Carolina; URRUTIA SEPULVEDA, Angélica  and  VARAS CONTRERAS, Marcela. Analysis of students' academic performance using Fuzzy Data Warehouse. Ingeniare. Rev. chil. ing. [online]. 2017, vol.25, n.2, pp.242-254. ISSN 0718-3305.  http://dx.doi.org/10.4067/S0718-33052017000200242.

A Data Warehouse (DW) is a data repository containing data from different sources. It is used to support decision-making through data analysis as it allows quantitative indicators such as amounts. However, data analysis lack of data of diffuse nature. For instance, in an academic context, the answer to the query "What students scored with good final grade" cannot be obtained from a traditional DW because they do not handle qualitative information. Due to the limitations of traditional DW the use of fuzzy logic may extend its capabilities through a fuzzy DW (FDW). This paper presents an implementation of FDW aimed at allowing qualitative analysis of scholar data supporting decision making process. The FDW implemented operate fuzzy measures, fuzzy facts, fuzzy relations and fuzzy levels.

Keywords : Fuzzy Data Warehouse; fuzzy logic; Data Warehouse.

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