Title :
Knowledge-Based Major Choosing Decision Making for Remote Students
Author :
Zhou, Qing ; Yu, Fang
Author_Institution :
Software Res. Inst., Sun Yat-sen Univ., Guangzhou
Abstract :
In this paper, we propose an auto-decision system KMCD, which helps remote students choose their majors. The system is based on knowledge of students who want to choose majors and students who have finished their studies. KMCD is a first-order reasoning system equipped with an uncertain reasoning function. A description of KMCD is given in details. The whole decision procedure is comprehensively discussed, which shows the effectiveness and the reasonableness of the system. Examples in the paper illustrate how KMCD can help remote students make their decisions in major-choosing.
Keywords :
decision making; distance learning; inference mechanisms; knowledge based systems; KMCD; auto-decision system; first-order reasoning system; knowledge-based major choosing decision making; remote students; uncertain reasoning function; Computer science; Computer science education; Databases; Decision making; Distance learning; Educational institutions; Software engineering; Sun; decision making; distance education; first-order logic; knowledge-based system; major choosing;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.379
