Imperfect Knowledge Management (IKM) in GEFRED (GENeralized model for Fuzzy RElational Databases)

TL;DR

This paper presents a framework for managing imperfect, fuzzy, and uncertain knowledge in enterprise settings, specifically applied to quality assessment in coated cardboard production using a generalized fuzzy relational database model.

Contribution

It introduces protocols for modeling a fuzzy metaknowledge base with GEFRED in Oracle 8i, addressing imprecision and uncertainty in enterprise knowledge management.

Findings

Developed protocols for fuzzy knowledge modeling

Implemented a fuzzy metaknowledge base in Oracle 8i

Enhanced management of imprecise enterprise knowledge

Abstract

Imperfect Knowledge Management (IKM) aids in managing imprecise, uncertain, or incomplete aspects of meaning. IKM acknowledges that an enterprise's knowledge is often imperfect, characterized by varying degrees of imprecision, uncertainty, or incompleteness. In this context, knowledge is viewed as an object described by attributes and values. Our focus is on the domain of competencies (know how) in the production of coated cardboard, particularly the process of converting finished products from the manufactured cardboard. This process involves both classic and fuzzy attributes that are used to assess the quality of the cardboard. This article introduces a set of protocols designed to model a fuzzy metaknowledge base using GEFRED (GENeralized model for Fuzzy RElational Databases) in an Oracle 8i relational database system.