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Ingeniare. Revista chilena de ingeniería

versión On-line ISSN 0718-3305

Resumen

ZAMBRANO MATAMALA, Carolina; VARAS CONTRERAS, Marcela  y  URRUTIA SEPULVEDA, Angélica. A model driven approach for fuzzy data warehouse design. Ingeniare. Rev. chil. ing. [online]. 2012, vol.20, n.1, pp. 99-113. ISSN 0718-3305.  http://dx.doi.org/10.4067/S0718-33052012000100010.

A Data Warehouse (DW) is a repository of data from different sources. Is a system for data analysis used to support decision making. In the area of data analysis is common to find relationships between data from fuzzy nature. In this context, the questions give me the marks quantity of good, average and bad cannot be obtained from the traditional DW because do not handle as qualitative information. Due to the limitations of traditional DW is that it can be extended to Fuzzy DW (DWD) using fuzzy logic. On the other hand in the DW development life cycle are considered different methodologies and models that have the disadvantage that do not integrate the different levels of abstraction or the DW design process. However, MDA is an alternative approach to integration for the development of DW as it gives a comprehensive development framework based on the architecture of models and transformations between different levels of abstraction. This article presents a Fuzzy MDA approach to design fuzzy measures, fuzzy relations and fuzzy levels. For which we propose a Fuzzy OLAP CWM metamodel, QVT rules and an example of rule. Is the sequence methodology for applying the rules QVT. Finally, it provides a case study analysis in the field of education.

Palabras llave : Data warehouse; fuzzy data warehouse; model driven architecture; fuzzy logic.

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