About this paper

Appears in:
INTED2017 Proceedings (browse)
Pages: 6218-6226
Publication year: 2017
ISBN: 978-84-617-8491-2
ISSN: 2340-1079
doi: 10.21125/inted.2017.1444

Conference name: 11th International Technology, Education and Development Conference
Dates: 6-8 March, 2017
Location: Valencia, Spain

Citation download:
(BibTeX) (ris) (plaintext)
Other publications by the authors:
(search)
Buy the publication:
(bookshop)
Upcoming event:

EDULEARN Conference

• Announcement
• Abstract submission
Proceedings indexed in ISI Proceedings
Crossref

STRATEGIC DECISION SUPPORT SYSTEM BASED INTEGRATED MODELS FOR UNIVERSITY ADMISSION CAPACITY PLANNING

A.H. Ragab1, S.A.H. El-Quliti2, R. Abdelaal2, A. Wagdy3, A.S. Mashat4, A.Y. Noaman5, A.H. Altalhi5

1King Abdulaziz University, Faculty of Computing and IT (SAUDI ARABIA)
2King Abdulaziz University, Faculty of Engineering (SAUDI ARABIA)
3University of Jeddah, Faculty of Sciences (SAUDI ARABIA)
4King Abdulaziz University (SAUDI ARABIA)
5King Abdulaziz University, Faculty of Computing and Information Technology (SAUDI ARABIA)
Strategic planning models and information provision for decision making in complex strategic situations are frequent subjects for scientific research. This paper proposes a novel strategic decision support system (SDSS) based integrated models for big data university admission capacity planning including analysis, design and implementation. The architecture includes three integrated models that are suggested for enhancing SDSS overall performance. In addition to knowledge base management and multimedia friendly user interface, the integrated models of the SDSS consists of students’ track specified model, colleges’ enrollment model and students’ capacity forecast model. Knowledge based rules and forecasting statistical methodologies are used for building these models. This SDSS is expected to help university decision makers for solving problems related to strategic decisions for enhancing future university students’ admission and enrollment capacity planning to satisfy labor market needs.
keywords: strategic decision making, integrated models dss, forecasting methods, knowledge base rules.
@InProceedings{RAGAB2017STR,
author = {Ragab, A.H. and El-Quliti, S.A.H. and Abdelaal, R. and Wagdy, A. and Mashat, A.S. and Noaman, A.Y. and Altalhi, A.H.},
title = {STRATEGIC DECISION SUPPORT SYSTEM BASED INTEGRATED MODELS FOR UNIVERSITY ADMISSION CAPACITY PLANNING},
series = {11th International Technology, Education and Development Conference},
booktitle = {INTED2017 Proceedings},
isbn = {978-84-617-8491-2},
issn = {2340-1079},
doi = {10.21125/inted.2017.1444},
url = {http://dx.doi.org/10.21125/inted.2017.1444},
publisher = {IATED},
location = {Valencia, Spain},
month = {6-8 March, 2017},
year = {2017},
pages = {6218-6226}}
TY - CONF
AU - A.H. Ragab AU - S.A.H. El-Quliti AU - R. Abdelaal AU - A. Wagdy AU - A.S. Mashat AU - A.Y. Noaman AU - A.H. Altalhi
TI - STRATEGIC DECISION SUPPORT SYSTEM BASED INTEGRATED MODELS FOR UNIVERSITY ADMISSION CAPACITY PLANNING
SN - 978-84-617-8491-2/2340-1079
DO - 10.21125/inted.2017.1444
PY - 2017
Y1 - 6-8 March, 2017
CI - Valencia, Spain
JO - 11th International Technology, Education and Development Conference
JA - INTED2017 Proceedings
SP - 6218
EP - 6226
ER -
A.H. Ragab, S.A.H. El-Quliti, R. Abdelaal, A. Wagdy, A.S. Mashat, A.Y. Noaman, A.H. Altalhi (2017) STRATEGIC DECISION SUPPORT SYSTEM BASED INTEGRATED MODELS FOR UNIVERSITY ADMISSION CAPACITY PLANNING, INTED2017 Proceedings, pp. 6218-6226.
User:
Pass: