Abstract
As recent trend has shown that consumers prefer buying products that reflect their own personality and characteristic, it is almost certain that individual-oriented product is gaining importance day by day. Parallel with the popularization of placing order via the Internet, this research combines the usage of Internet with the concept of individual-oriented product, thus proposes a system called Internet-based Consumer-oriented Product Ordering System. In this system, customer is given freedom to select their desirable product specifications from a very vast pool of selections. Nevertheless, as the vast choices of specifications may also confuse the user, a fuzzy theory and data mining approach is used to aid the selection process, where by past transaction data is used to as main reference for the specification determination process.
