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Study on the System Design of Multiple Expert Systems Integrated Decision Support System
作者姓名:Wang ZongjunInstitute of Systems Engineering. Huazhong University of Science and Technology. Wuhan  P. R. China
作者单位:Wang ZongjunInstitute of Systems Engineering. Huazhong University of Science and Technology. Wuhan 430074,P. R. China
摘    要:There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.


Study on the System Design of Multiple Expert Systems Integrated Decision Support System
Wang ZongjunInstitute of Systems Engineering. Huazhong University of Science and Technology. Wuhan ,P. R. China.Study on the System Design of Multiple Expert Systems Integrated Decision Support System[J].Journal of Systems Engineering and Electronics,1993(1).
Authors:Wang ZongjunInstitute of Systems Engineering Huazhong University of Science and Technology Wuhan  P R China
Institution:Wang ZongjunInstitute of Systems Engineering. Huazhong University of Science and Technology. Wuhan 430074,P. R. China
Abstract:There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.
Keywords:Decision support system  Expert systems  Integration of multiple expert systems  Logic design  Knowledge representation  Reasoning  
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