DocumentCode :
2727869
Title :
Extension Expert System and Its Application to IDSS
Author :
Cao, Lei ; Peng, Wei ; Dong, Qiang
Author_Institution :
Dept. of Operational Software, PLA Univ. of Sci. & Technol., Nanjing
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
2566
Lastpage :
2569
Abstract :
Knowledge presentation and reasoning technique in extension theory can provide some new theories and methods for the knowledge acquisition and repository design of expert system. The extension expert system that combines extension theory and expert system has great capability in self-study and creative thinking. First, a kind of framework of the extension expert system is introduced by applying extension knowledge expressing and emanative reasoning. Then, the characteristics of the expert system are analyzed. Finally, the application of extension knowledge to the enterprise marketing forecast system as an example is given, and the general design as well as implementation scheme of the system is proposed at the same time. The example has demonstrated the feasibility of applying extension expert system to intelligent decision support system (IDSS)
Keywords :
expert systems; inference mechanisms; knowledge representation; creative thinking; enterprise marketing forecast system; expert system repository design; extension expert system; extension knowledge; extension theory; intelligent decision support system; knowledge acquisition; knowledge presentation; matter element; reasoning technique; self-study capability; Application software; Automation; Decision support systems; Economic forecasting; Expert systems; Independent component analysis; Intelligent control; Intelligent systems; Knowledge acquisition; Programmable logic arrays; IDSS; extension model; matter element; repository;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712825
Filename :
1712825
Link To Document :
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