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DEVELOPMENT OF AUTOMATED EXPERT SYSTEM FOR A NUTRITIONAL GUIDANCE APPLICATION BASED ON ROUGH SETS

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Last updated: 03 Jan 2025

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Abstract

Rough set theory methodology is concerned with the classification and analysis of imprecise, uncertain or incomplete information and knowledge, and is considered one of the first non-statistical approaches in data analysis. An expert system provides advice derived from its knowledge base, using a reasoning process embedded in its inference engine. Expert system seeks to embed the knowledge of a human expert in a computerized consulting service. Nutritional guidance importance increases as well as nutritional problems increase. In this paper an expert system that based on rough theory is presented and tested. In this paper, a rule induction method is introduced, which extracts not only classification rules but also other knowledge needed for guidance. This system is evaluated on a nutritional database. Results show that our proposed method correctly induces guidance rules and estimates the statistical measures of rules.

DOI

10.21608/ijicis.2014.15772

Authors

First Name

M

Last Name

Rokaya

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Affiliation

Information Technology Department, College of Computer & IT, Taif University- Saudi Arabia Mathematics Department, Faculty of Science, Tanta University- Egypt

Email

baselmah@yahoo.com

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Volume

14

Article Issue

2

Related Issue

3408

Issue Date

2014-04-01

Receive Date

2018-10-03

Publish Date

2014-04-01

Page Start

39

Page End

52

Print ISSN

1687-109X

Online ISSN

2535-1710

Link

https://ijicis.journals.ekb.eg/article_15772.html

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https://ijicis.journals.ekb.eg/service?article_code=15772

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Original Article

Type Code

494

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Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

MainTitle

DEVELOPMENT OF AUTOMATED EXPERT SYSTEM FOR A NUTRITIONAL GUIDANCE APPLICATION BASED ON ROUGH SETS

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Article

Created At

22 Jan 2023