Implementation of a Fuzzy Relational Database. Case Study: Chilean Cardboard Industry in the Maule Region

Fuente: arXiv
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Auteurs principaux: Jimenez, Leoncio, Urrutia, Angélica, Galindo, José, Zaraté, Pascale
Format: Preprint
Publié: 2025
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author Jimenez, Leoncio
Urrutia, Angélica
Galindo, José
Zaraté, Pascale
author_facet Jimenez, Leoncio
Urrutia, Angélica
Galindo, José
Zaraté, Pascale
contents The international database community refers to the manipulation of data with inaccuracy and uncertainty using the term fuzzy, which has been translated into Spanish as "borroso" and into French as "flou". Semantically, this term conveys two main ideas: first, the natural concept of ambiguity or vagueness in human reasoning, and second, its connection to fuzzy set theory, fuzzy logic, and possibility theory, as developed by Zadeh between 1965 and 1977. This article explores two key aspects: the attributes of the fuzzy data model GEFRED (GENeralized model for Fuzzy RElational Database) and their implementation in a Relational Database (RDB). The modeling of these attributes was conducted in a Chilian cardboard manufacturing company located in the Maule Region, where the described phenomena involve imprecise and uncertain attributes and values. Specifically, our focus is on the knowledge related to the manufacturing process of coated cardboard, particularly the quality control process for finished products in the company's Conversion Department. The quality of these products, categorized as either stacks or rolls, is characterized using both classical and fuzzy attributes. Classical attributes are typically measured with physical instruments, whereas fuzzy attributes are assessed through human senses, primarily sight and touch, as perceived by the operators.
format Preprint
id arxiv_https___arxiv_org_abs_2502_09035
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Implementation of a Fuzzy Relational Database. Case Study: Chilean Cardboard Industry in the Maule Region
Jimenez, Leoncio
Urrutia, Angélica
Galindo, José
Zaraté, Pascale
Computers and Society
The international database community refers to the manipulation of data with inaccuracy and uncertainty using the term fuzzy, which has been translated into Spanish as "borroso" and into French as "flou". Semantically, this term conveys two main ideas: first, the natural concept of ambiguity or vagueness in human reasoning, and second, its connection to fuzzy set theory, fuzzy logic, and possibility theory, as developed by Zadeh between 1965 and 1977. This article explores two key aspects: the attributes of the fuzzy data model GEFRED (GENeralized model for Fuzzy RElational Database) and their implementation in a Relational Database (RDB). The modeling of these attributes was conducted in a Chilian cardboard manufacturing company located in the Maule Region, where the described phenomena involve imprecise and uncertain attributes and values. Specifically, our focus is on the knowledge related to the manufacturing process of coated cardboard, particularly the quality control process for finished products in the company's Conversion Department. The quality of these products, categorized as either stacks or rolls, is characterized using both classical and fuzzy attributes. Classical attributes are typically measured with physical instruments, whereas fuzzy attributes are assessed through human senses, primarily sight and touch, as perceived by the operators.
title Implementation of a Fuzzy Relational Database. Case Study: Chilean Cardboard Industry in the Maule Region
topic Computers and Society
url https://arxiv.org/abs/2502.09035