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2010 43rd Hawaii International Conference on System Sciences
Koloa, Kauai, Hawaii
January 05-January 08
ISBN: 978-0-7695-3869-3
ASCII Text
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Abdelrahman Osman Elfaki, Saravanan Muthaiyah, Ibrahim H. M. Magboul, Somnuk Phon-Amnuaisuk, Chin Kuan Ho, "Defining Variability in DSS: An Intelligent Method for Knowledge Representation and Validation," 2013 46th Hawaii International Conference on System Sciences, pp. 1-9, 2010 43rd Hawaii International Conference on System Sciences, 2010.
 
 
BibTex
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@article{ 10.1109/HICSS.2010.133,
author = {Abdelrahman Osman Elfaki and Saravanan Muthaiyah and Ibrahim H. M. Magboul and Somnuk Phon-Amnuaisuk and Chin Kuan Ho},
title = {Defining Variability in DSS: An Intelligent Method for Knowledge Representation and Validation},
journal ={2013 46th Hawaii International Conference on System Sciences},
volume = {0},
year = {2010},
isbn = {978-0-7695-3869-3},
pages = {1-9},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2010.133},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2013 46th Hawaii International Conference on System Sciences
TI - Defining Variability in DSS: An Intelligent Method for Knowledge Representation and Validation
SN - 978-0-7695-3869-3
SP1
EP9
A1 - Abdelrahman Osman Elfaki,
A1 - Saravanan Muthaiyah,
A1 - Ibrahim H. M. Magboul,
A1 - Somnuk Phon-Amnuaisuk,
A1 - Chin Kuan Ho,
PY - 2010
VL - 0
JA - 2013 46th Hawaii International Conference on System Sciences
ER -
 
Managing knowledge is both a challenging and complex task. There is a number techniques for making decisions in today's knowledge-based economies. Decision support systems (DSS) have been developed to aid the decision-making process to find solutions for multiple problems. One aspect that hinders successful decision making is the issue of variability definition. The aim of this paper is to define variability by proposing an intelligent method. Knowledge representation is based in two layer:1) the upper layer i.e. graphical representation and 2) the lower layer i.e. a mathematical algorithm. We present a method that defines and provides auto-support for five operations in knowledge validation particularly dependency constraint rules, propagation, delete-cascade, logical inconsistency and dead choice detection.
Citation:
Abdelrahman Osman Elfaki, Saravanan Muthaiyah, Ibrahim H. M. Magboul, Somnuk Phon-Amnuaisuk, Chin Kuan Ho, "Defining Variability in DSS: An Intelligent Method for Knowledge Representation and Validation," hicss, pp.1-9, 2010 43rd Hawaii International Conference on System Sciences, 2010
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