A Knowledge-based Decision Support System for Government Vendor Selection and Bidding

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.