Intelligent decision support and information systems in enterprise: Evolutionary-based optimization

被引：0

作者：

Nikravesh, M ^{[1
]}

机构：

[1] Univ Calif Berkeley, EECS Dept, Div Comp Sci, BISC Program, Berkeley, CA 94720 USA

来源：

2005 IEEE International Conference on Granular Computing, Vols 1 and 2 | 2005年

关键词：

decision support; optimization; soft computing; information systems; fuzzy logic; enterprise;

D O I：

10.1109/GRC.2005.1547360

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Most of the existing search systems' 'software' are modeled using crisp logic and queries. We introduce fuzzy querying and ranking as a flexible tool allowing approximation where the selected objects do not need to match exactly the decision criteria resembling natural human behavior. The model consists of five major modules: the Fuzzy Search Engine, the Application Templates, the User Interface, the Database and the Evolutionary Computing. The system is designed in a generic form to accommodate more diverse applications and to be delivered as stand-alone software to academia and businesses.

引用

页码：587 / 592

页数：6

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