9th Joint International Conference on Information Sciences (JCIS-06)

A knowledge-based decision support system for government vendor selection and bidding

Authors
Wei-Kang Wang 0, Wu Wen, Wen-Bin Chang, Hao-Chen Huang
Corresponding Author
Wei-Kang Wang
0Department of Accounting, Yuan-Ze University, Taiwan, R.O.C.
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.57How to use a DOI?
Keywords
Vendor selection and bidding; knowledge-based decision support systems; Knowledge bases; Model bases; Forward reasoning
Abstract
In this paper, we present a new framework for knowledge-based decision support systems for government vendor selection and bidding. The system integrates a database, rule base and model base as a tool for managers in the decision-making problems via the Internet. The procurement procedures for and architecture of the government vendor selection and bidding in Taiwan are discussed in detail. Particularly, rules in the rule base are explained in more detail for illustrating the process of reasoning and KDSSVSB adapts to quickly and accurately infer and generate suggestions or actions. In order to evaluate suppliers’ qualifications, the AHP and Non-AHP model in the model base have been developed. Finally, the empirical functions of the KDSSVSB system are also addressed and a bidding case is presented.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.57How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei-Kang Wang
AU  - Wu Wen
AU  - Wen-Bin Chang
AU  - Hao-Chen Huang
PY  - 2006/10
DA  - 2006/10
TI  - A knowledge-based decision support system for government vendor selection and bidding
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.57
DO  - https://doi.org/10.2991/jcis.2006.57
ID  - Wang2006/10
ER  -