[1] Zuo Baohe*, Feng Shan,. A Distributed OA Expert System Model Based on Fuzzy Rules [J]. Journal of Southeast University (English Edition), 2001, 17 (2): 32-35. [doi:10.3969/j.issn.1003-7985.2001.02.008]

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A Distributed OA Expert System Model Based on Fuzzy Rules()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

17

Issue:

2001 2

Page:

32-35

Research Field:

Economy and Management

Publishing date:

2001-12-30

Info

Title:

A Distributed OA Expert System Model Based on Fuzzy Rules

Author(s):

Zuo Baohe^*;  Feng Shan

Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Keywords:

CORBA;  fuzzy rule;  OA system;  multi-agent

PACS:

N945

DOI:

10.3969/j.issn.1003-7985.2001.02.008

Abstract:

By the analysis of CORBA technology, distributed technology, multi-agent, fuzzy cluster, OA system, expert system and decision support technology, a distributed OA expert system model based on fuzzy rules(DOAES)is proposed. In DOAES, the knowledge and experience of decision-makers are processed and transferred into the knowledge base. So the system has the adaptive ability and re-study function and the decision results are more scientific and more objective. The DOAES is successfully applied in the management system of invest promotion.

References:

[1] Y.Chang, and F.Chen, A rule-by-example active database system, Software: Practice and Experience, vol.27, no.4, pp. 365-394, 1997
[2] B.H. Zuo, and S.Feng, The integrate system of real-time decision with active characteristics, Systems engineering: theory & practice, vol.21, no.2, pp.6-11, 2001
[3] M.M. Owrang, and F.H Grupe, Database tools to acquire knowledge for rule-based expert systems, Information and Software Technology, vol.39, pp.607-616, 1997
[4] Florence Le Ber, and Marie-Pierre Chouvet, An agent-based model for domain knowledge representation, Data & knowledge engineering, vol.29, pp. 147-161, 1999
[5] G.Fakas, and B.karakostas, A workflow management system based on intelligent collaborative objects, Information and software technology, vol.41, pp. 907-915, 1999
[6] S.M.Yuan, and X.Q.Cheng, Clustering method for mining quantitative association rules, China journal of computers, vol. 8, pp.866-871, 2000
[7] Z.H.Tan, G.G. Hu, and X.L. Ren, Fuzzy metagraphs:a new method of constructing fuzzy knowledge base, Control and decision, vol.7, pp. 406-410, 2000

Memo

Memo:

* Born in 1967, male, graduate.

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