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33931

An Intelligent Decision Support System for Faculty Evaluation

Article

Last updated: 24 Dec 2024

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Abstract

This paper presents an intelligent decision support system (IDSSFPE) for faculty performance evaluation. The requirements of the faculty decision makers are identified through the analysis and the design of the IDSSFPE. Three models based of the IDSSFPE are illustrated. Such models are: i) The performance measurement model based on data envelopment analysis (DEA), ii) Number of applicants estimation model, and iii) Applicants classification model based on artificial neural network (ANN).

DOI

10.21608/ijci.2007.33931

Keywords

Faculty performance, Intelligence decision support system, artificial neural network

Authors

First Name

Hegazy

Last Name

Zaher

MiddleName

-

Affiliation

Institute of Statistical Studies and Research (ISSR), Cairo University, Egypt.

Email

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Orcid

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First Name

W.

Last Name

Abd El- Wahed

MiddleName

F.

Affiliation

Faculty of computers & Information, Shiben El- Kom, Menoufia University, Egypt.

Email

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City

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Orcid

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First Name

Mahmoud

Last Name

El-Sherbiny

MiddleName

M.

Affiliation

Operations Research Dept, Institute of Statistical Studies and Research (ISSR), Cairo University, Egypt.

Email

m_sherbiny@yahoo.com

City

-

Orcid

-

First Name

Haidy

Last Name

Matloub

MiddleName

-

Affiliation

Operations Research Dept, Institute of Statistical Studies and Research (ISSR), Cairo University, Egypt

Email

-

City

-

Orcid

-

Volume

1

Article Issue

1

Related Issue

5632

Issue Date

2007-07-01

Receive Date

2007-01-04

Publish Date

2007-07-01

Page Start

35

Page End

49

Print ISSN

1687-7853

Online ISSN

2735-3257

Link

https://ijci.journals.ekb.eg/article_33931.html

Detail API

https://ijci.journals.ekb.eg/service?article_code=33931

Order

5

Type

Original Article

Type Code

877

Publication Type

Journal

Publication Title

IJCI. International Journal of Computers and Information

Publication Link

https://ijci.journals.ekb.eg/

MainTitle

An Intelligent Decision Support System for Faculty Evaluation

Details

Type

Article

Created At

22 Jan 2023