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Decision support system for computer buyers using bayesian’s technique

Selamat, Ali and Tan, Li Kim (2006) Decision support system for computer buyers using bayesian’s technique. The International Journal on Artificial Intelligence and machine learning (AIML), 6 (2). pp. 1-12.

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There are variety of computer brands such as DELL, IBM, HP, COMPAQ and etcetera in the market where each of the brands posses their own features. Therefore, computer buyers have to think about the price, quality, performance and requirement of the computer when they want to purchase a computer. The purpose of this project is producing a web-based decision support system to help the computer buyer in making decision before they purchase a computer. Bayesian’s technique is using in this decision support system to generate decision which is the computer list based on user’s requirements. The results that created by Bayesian may measured by showing the components’ list of a computer which refer to the user’s requirement. Bayesian is chosen in this project because of her effectiveness calculation although the inputs always change. The effectiveness of this system can be showed by observing the output of the system where the proposed computer package for user is exactly meet the user’s requirements such as price, type of usage and environment.

Item Type:Article
Uncontrolled Keywords:decision Support System (DSS), Bayesian network, user’s requirement kiv record
Subjects:Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:Computer Science and Information System (Formerly known)
ID Code:3097
Deposited By: Dr Ali Selamat
Deposited On:24 Oct 2007 03:23
Last Modified:19 Oct 2017 05:35

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