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What is Fuzzy Attributes TYPE 2

Latin American Women and Research Contributions to the IT Field
Are attributes that support both classical (crisp) and fuzzy (imprecise) data, in the form of possibility distributions over an ordered underlying domain.
Published in Chapter:
Fuzzy Data Warehouse in the Field of Education
Carolina Zambrano-Matamala (Universidad de Concepción, Chile) and Angélica Urrutia (Universidad Catolica del Maule, Chile)
Copyright: © 2021 |Pages: 19
DOI: 10.4018/978-1-7998-7552-9.ch006
Abstract
Currently, educational organizations have a large amount of local information from their academic processes, curricular management processes, diagnostic processes of university admission, among others. Also, educational organizations have access to large external databases with standardized test information that students have taken. In this sense, the data warehouse (DW) is presented as a technology that makes it possible to integrate educational information because it provides for the storage of large amounts of information that come from different sources, in a multidimensionally structured format for historical analysis. In this chapter, the authors present one example of DW applied to the field of education using fuzzy logic. A fuzzy DW will be defined as “a DW that allows storing and operating fuzzy measures, fuzzy relationships between levels and fuzzy levels.” This chapter ends with a critical discussion of the advances and possibilities of technologies such as the DW applied to the field of education.
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